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Sophia Ananiadou: Biomedical Text Mining. theMETAnk
 
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Sophia Ananiadou (University of Manchester): "Biomedical Text Mining". theMETAnk. June 4/5, 2010. Berlin, Germany http://videolectures.net/translingeu2010_ananiadou_bmtm/
Views: 425 META-NET
Text Mining the History of Medicine
 
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24-03-2015 Institute of Historical Research http://www.sas.ac.uk/ http://www.history.ac.uk/events/browse/17604 Institute: http://www.history.ac.uk Text Mining the History of Medicine Sophia Ananiadou (Manchester University) I will present the results of a collaborative and interdisciplinary project between the National CEntre for Text Mining (NaCTeM) and the Centre for the History of Science, Technology and Medicine (CHSTM) at the University of Manchester, demonstrating the capabilities of innovative text mining tools to allow the automatic extraction of information from two historical archives: the British Medical Journal (BMJ) (1840 - present) and the London-area Medical Officer for Health (MOH) reports (1848-1972). NaCTeM's text mining tools have enriched these historical archives with semantic metadata automatically by extracting terms, names entities and events. The development of a semantic search system focused on the understanding of historical changes in lung diseases since 1840. Digital History seminar series
Views: 215 SchAdvStudy
Words, links, and patterns: novel representations for Web-scale text mining
 
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Textual data is everywhere, in email and scientific papers, in online newspapers and e-commerce sites. The Web contains more than 200 terabytes of text not even counting the contents of dynamic textual databases. This enormous source of knowledge is seriously underexploited. Textual documents on the Web are very hard to model computationally: they are mostly unstructured, time-dependent, collectively authored, multilingual, and of uneven importance. Traditional grammar-based techniques don't scale up to address such problems. Novel representations and analytical tools are needed. I will discuss several recent contributions related to text mining from a variety of genres. More specifically these include (a) lexical models of the growth of the Web, (b) graph-based entity classification, (c) evolving news summarization, and (d) mining protein interactions in papers. As it turns out, the right representations, when complemented with traditional NLP techniques, turn all of these into instances of better studied problems in areas such as social networks, statistical mechanics, sequence analysis, and computational phylogenetics.
Views: 20 Microsoft Research
Text Mining with Node.js - Philipp Burckhardt, Carnegie Mellon University
 
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Text Mining with Node.js - Philipp Burckhardt, Carnegie Mellon University Today, more data is accumulated than ever before. It has been estimated that over 80% of data collected by businesses is unstructured, mostly in the form of free text. The statistical community has developed many tools for analyzing textual data, both in the areas of exploratory data analysis (e.g. clustering methods) and predictive analytics. In this talk, Philipp Burckhardt will discuss tools and libraries that you can use today to perform text mining with Node.js. Creative strategies to overcome the limitations of the V8 engine in the areas of high-performance and memory-intensive computing will be discussed. You will be introduced to how you can use Node.js streams to analyze text in real-time, how to leverage native add-ons for performance-intensive code and how to build command-line interfaces to process text directly from the terminal.
Views: 2894 node.js
Analysez vos données textuelles avec SAS® Text Analytics
 
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SAS® Text Analytics collecte et analyse les informations enfouies dans vos données textuelles. En savoir plus sur la solution : http://www.sas.com/france/text-analytics Les informations sont collectées, explorées, interprétées et structurées pour mettre en évidence des tendances, des schémas, des ressentis. Les connaissances extraites peuvent ensuite être combinées avec des données déjà structurées et venir enrichir vos reporting et vos analyses prédictives. SAS® Text Analytics s'appuie sur les méthodes les plus avancées en terme de Statistique Textuelle, Traitement Automatique du Langage Naturel et Text Mining (Data Mining appliqué aux textes). Exploitez vos Big Data : les atouts de l'analyse textuelle Documents word, excel, emails, compte-rendu d'appels, déclarations de sinistres, réclamations clients, avis produits ou conversations sur votre page Facebook... l'information utile à l'entreprise provient pour l'essentiel de données non structurées. Extraire l'information des Big Data, en particulier des données textuelles, est un enjeu fort pour toute entreprise. LES DIEUX DE LA STAT | http://www.statistique-2013.fr/ Dossier Analyse textuelle http://www.statistique-2013.fr/02-analyse-textuelle.html Statistique descriptive, analyse textuelle, modélisation prédictive, réponse incrémentale, optimisation, prévision & séries chronologiques... Plongez-vous dans la lecture d'un nouveau thème avec son lot d'informations : articles, avis d'experts, vidéos, événements, applications pratiques,... SAS France - Tél : 01 60 62 11 11 Formulaire de contact : http://www.sas.com/france/contact
Views: 5497 SAS France
Text mining highlight talk: ISMB 2014
 
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ISMB Highlight talk by Ashutosh Malhotra:Linking hypothetical patterns to disease molecular signatures in Alzheimer's disease
Views: 599 atmbio
PhD Sarah ElShal: Biomedical text mining and genomic data fusion for disease gene discovery.
 
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Our genome is an amazing sequence of three billion chemical letters (DNA nucleotides) that is present in almost every cell inside the human body. This sequence contains fragments called genes that encode proteins with a wide diversity of functions. Any mutation in the gene sequence might result in an alteration of these functions, which sometimes is undesirable and contributes to disease. Hence identifying which genes are associated with which disease is of great medical importance. It is a key step to diagnosing and curing diseases, and hence plays a key role in many critical applications such as personalized medicine and early prediction, and drug design and repurposing. However this task is not trivial, especially with the exponential growth of genomic data that makes it challenging for the geneticists to explore all possible hypotheses in a reasonable amount of time. In this thesis, we propose Beegle, an online search and discovery engine, which allows geneticists to explore possible hypotheses about links between genes and diseases in a fast and easy way. It starts from text mining to quickly present the user with an ordered list of genes that have been reported in the literature to be linked with the query in question. Then it integrates genomic data fusion techniques to learn a model and generate novel gene hypothesis. In this work, we analysed over 20 million biomedical abstracts to extract relevant links between genes and diseases. We tested different statistical measures to decide on the degree of relevance of such links, which ranged from co-occurrence to cosine similarities. We experimented with two biomedical text taggers, which are quite diverse in tagging the biomedical text with the different biomedical concepts. We also investigated the application of topic modelling, where we relied on a latent Dirichlet allocation model, to infer a latent set topics that better model our text data. Finally, we integrated state-ofthe-art learning methodologies to analyse and fuse over 70 genomic data sources and compute gene similarity scores to eventually present the user with one final ranked hypothesis. We release Beegle at http://beegle.esat.kuleuven.be/, where we welcome our users to start their disease-gene discovery experience with an introductory video tutorial. We validated Beegle in multiple experimental setups, which we partly created in-house based on public genetic databases. We mainly designed the validation process such that it mimics real discovery, where we limited information in our data sets up to a certain date, then we used test sets of disease-gene links that were only reported after this date. Hence, our hypotheses were not contaminated with novel information. In one setup, our results show that Beegle recommends on average 41.2% true novel hypotheses in the top 5% ranking genes. In another setup, our results show that Beegle recommends at least one true novel hypothesis in the top 20 ranking genes. Our methodology increases the true positive rate of manual approaches by 44%, and reduces the error of automatic approaches by 50%. We believe Beegle is an interesting tool to quickly explore all the gene hypotheses related to any query of interest. These can further be assessed and filtered by the geneticist who can carry out the necessary validation experiments. This motivates us to extend Beegle such that it additionally explores similar drug hypotheses, which we believe is a potential future work given the availability of the relevant data sets.
Views: 93 sarahelshal
Large scale Biomedical text mining using machine learning
 
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In this YouTube video I am briefly describing in less than 20 minutes the great potential benefits of using Map Reduce Paradigm in Natural Language Processing especially for biomedical text mining and personalized medicine at the MCBIOS bioinformatics conference hosted by the Oklahoma State University, in Stillwater, Oklahoma held from March 6th-8th 2014. For any questions, comments, suggestions please contact: Thomas Hahn Email: [email protected] Skype ID: tfh002 Cell phone: 318 243 3940 Office phone: 501 682 1440 Office Location: EIT 535 (Graduate student in the joined bioinformatics program at the University of Arkansas at Little Rock (UALR) and the University of Arkansas Medical Science (UAMS)) and/or Prasanna Balakrishnan Flat no 22 Home Finders Court Chromepet Chennai - 600 044 email: [email protected] phone no - +91 9444708436
Views: 450 Thomas Hahn
Table mining and data curation from Biomedical literature - Let me tell you about my research
 
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Most of current text mining efforts are focused on the extraction of information from the main body of scientific articles. However, a significant part of the information presented in the literature is shown in figures and tables. For example, the key characteristics of clinical trials may be presented in a table. Processing such elements are often limited to associated textual captions, and the data presented in tables (and figures) are typically ignored. The aim of this PhD project is to explore table mining in the biomedical literature and develop a system to support the curation of relevant information from tables. Relevant papers: - Milosevic, N., Gregson, C., Hernandez, R. Nenadic, G. A framework for information extraction from tables in biomedical literature International Journal on Document Analysis and Recognition (2019). https://doi.org/10.1007/s10032-019-00317-0 - Milosevic,N; Gregson, C; Hernandez, R; Nenadic, G. (2016, June). Disentangling the Structure of Tables in Scientific Literature. In Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings (Vol. 9612, p. 162). Springer. https://link.springer.com/chapter/10.1007/978-3-319-41754-7_14 - Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2016). Extracting patient data from tables in clinical literature: Case study on extraction of BMI, weight and number of patients.. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies ISBN 978-989-758-170-0, pages 223-228. DOI: https://doi.org/10.5220/0005660102230228 - Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. Hybrid methodology for information extraction from tables in the biomedical literature. In Proceedings of the Belgrade Bioinformatics Conference (BelBi2016) - Milosevic, N. (2016). Marvin: Semantic annotation using multiple knowledge sources. arXiv preprint arXiv:1602.00515.
Views: 228 Nikola Milosevic
Good to Be Bad (From "Descendants 3"/Official Video)
 
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Watch #Descendants3 on August 2nd 2019 on Disney Channel! Calling all VKs! It’s good to be bad! And we’re proof of that 🎶 Check out the official music video for “Good To Be Bad” in Descendants 3! Download or stream #GoodToBeBad here: http://disneymusic.co/GoodToBeBad Watch all #Descendants music videos here: http://disneymusic.co/descendantsplaylist/vevo Pre-order the #Descendants3 soundtrack: http://disneymusic.co/descendants3 Descendants 2 soundtrack: http://disneymusic.co/Descendants2 Descendants soundtrack: https://disneymusic.co/DescendantsOST Stay connected with Disney Music: Instagram: http://instagram.com/disneymusic Facebook: http://facebook.com/disneymusic Twitter: http://twitter.com/disneymusic YouTube: http://youtube.com/disneymusic Music video by Dove Cameron, Sofia Carson, Booboo Stewart, Cameron Boyce, Jadah Marie, Anna Cathcart performing Good to Be Bad (From "Descendants 3"/Official Video). © 2019 Walt Disney Records http://vevo.ly/Rry2KA
Views: 10582690 DisneyMusicVEVO
Side-Channel Attacks on Everyday Applications
 
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by Taylor Hornby In 2013, Yuval Yarom and Katrina Falkner discovered the FLUSH+RELOAD L3 cache side-channel. So far it has broken numerous implementations of cryptography including, notably, the AES and ECDSA in OpenSSL and the RSA GnuPG. Given FLUSH+RELOAD's astounding success at breaking cryptography, we're lead to wonder if it can be applied more broadly, to leak useful information out of regular applications like text editors and web browsers whose main functions are not cryptography. In this talk, I'll briefly describe how the FLUSH+RELOAD attack works, and how it can be used to build input distinguishing attacks. In particular, I'll demonstrate how when the user Alice browses around the top 100 Wikipedia pages, the user Bob can spy on which of those pages she's visiting. This isn't an earth-shattering attack, but as the code I'm releasing shows, it can be implemented reliably. My goal is to convince the community that side channels, FLUSH+RELOAD in particular, are useful for more than just breaking cryptography. The code I'm releasing is a starting point for developing better attacks. If you have access to a vulnerable CPU running a suitable OS, you should be able to reproduce the attack within minutes after watching the talk and downloading the code.
Views: 11871 Black Hat
Mining the History of Medicine and Mining Biodiversity
 
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Sophia Ananiadou, Professor, University of Manchester and Director, National Centre for Text Mining Sophia will briefly talk about NaCTeM's recent work on Mining the History of Medicine (http://www.nactem.ac.uk/MHM/). NaCTeM are mining the London-area Medical Officer of Health reports (digitised by the Wellcome Library). She will also talk about Mining Biodiversity (http://www.nactem.ac.uk/DID-MIBIO/), which is enriching the Biodiversity Heritage Library (BHL) library with semantic metadata, developing crowdsourcing facilities using their platform Argo, among other features such as automatic correction of OCR errors in text.
CWIN18 Telford: Using AI for Text Analytics – Shailesh Patel
 
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Shailesh Patel – Head of AI, Capgemini HMRC Account Data production will be 44 times greater in 2020 than it was in 2009. This includes text, audio, image and video data. In this presentation, Shailesh concentrates on the unique insights gained from text data, including the pre-processing of the other formats which results in text. Utilising techniques around natural language processing, semantic analysis, sentiment analytics and other advanced modelling approaches that can result in valuable competitive intelligence and insight. Shailesh leads the AI Centre of Excellence (CoE) for the HMRC Account within Capgemini. He provides direction, strategy and vision for the CoE and is driving the support of Capgemini’s delivery groups with AI solutions. His team is creating exciting leading-edge solutions in the machine learning space with a view to supporting our customer’s business needs. Having spent almost 13 years on the HMRC Account, he also supports HMRC’s Customer Compliance Group, providing strategic consultancy on AI. Filmed at the CWIN18 UK event in the Telford ASE.
Views: 46 Capgemini
Meghan Trainor - All About That Bass (Official Music Video)
 
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Meghan Trainor's official music video for 'All About That Bass'. Click to listen to Meghan Trainor on Spotify: http://smarturl.it/MegTSpotify?IQid=M... As featured on Title. Click to buy the track or album via iTunes: http://smarturl.it/MTTitleiTunes?IQid... Google Play: http://smarturl.it/MTThatBassPlay?IQi... Amazon: http://smarturl.it/MTTitleAz?IQid=MTr... More from Meghan Trainor Dear Future Husband: https://youtu.be/ShlW5plD_40 Like I'm Gonna Lose You: https://youtu.be/2-MBfn8XjIU Lips Are Movin: https://youtu.be/qDc_5zpBj7s More great global hits videos here: http://smarturl.it/GlobalHits?IQid=MT... Follow Meghan Trainor Website: http://www.meghan-trainor.com/ Facebook: https://www.facebook.com/meghantraino... Twitter: https://twitter.com/meghan_trainor Instagram: https://instagram.com/meghan_trainor Subscribe to Meghan Trainor on YouTube: http://smarturl.it/MeghanTSub?IQid=MT... Choreographed by: Charm La’ Donna #MeghanTrainor #AllAboutThatBass #Vevo #Pop #OfficialMusicVideo --------- Lyrics: Because you know I'm all about that bass 'Bout that bass, no treble I'm all about that bass 'Bout that bass, no treble I'm all about that bass 'Bout that bass, no treble I'm all about that bass 'Bout that bass... bass... bass... bass Yeah, it's pretty clear, I ain't no size two But I can shake it, shake it, like I'm supposed to do 'Cause I got that boom boom that all the boys chase And all the right junk in all the right places I see the magazine workin' that Photoshop We know that shit ain't real, come on now, make it stop If you got beauty, beauty, just raise 'em up 'Cause every inch of you is perfect from the bottom to the top Yeah, my mama she told me don't worry about your size (Shoo wop wop, sha-ooh wop wop) She says, Boys like a little more booty to hold at night (That booty, uh, that booty booty) You know I won't be no stick figure silicone Barbie doll So if that what you're into, then go 'head and move along"
Views: 2302216104 MeghanTrainorVEVO
Smarter Text Analytics – Digital Anthropology
 
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"Smarter Text Analytics" Coca-Cola uses Next Generation Text Analytics platform OdinText (www.odintext.com) to get smarter about text analytics, social media monitoring and digital research. Advertising Research Foundation (ARF RE:Think 2015) Make Your Mark paper award winner.
Views: 385 OdinText
This AI Can Clone Any Voice, Including Yours
 
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Journalist Ashlee Vance travels to Montreal, Canada to meet the founders of Lyrebird, a startup that is using AI to clone human voices with frightening precision. ---------- Hello World is a Webby and Emmy-nominated video series from Bloomberg that invites the viewer to come on a journey across the globe to find the inventors, scientists and technologists shaping our future. Join journalist and best-selling author Ashlee Vance on a quest to find the freshest, weirdest tech creations and the beautiful freaks behind them. Watch more Hello World episodes: https://www.bloomberg.com/hello-world Bloomberg is the First Word in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com Connect with us on... Twitter: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/
Views: 925488 Bloomberg
Natural Language Generation at Google Research (AI Adventures)
 
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In this episode of AI Adventures, Yufeng interviews Google Research engineer Justin Zhao to talk about natural text generation, recurrent neural networks, and state of the art research! RNNs in TensorFlow: https://goo.gl/ss5dEY Character-level language models: https://goo.gl/ffcq52 Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 66548 Google Cloud Platform
Large-scale Text Mining for Biological Data
 
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http://togotv.dbcls.jp/20110307.html#p01  In this video, Goran Nenadic who is a Senior Lecturer (Associate Professor) in the School of Computer Science, University of Manchester and a group leader in the Manchester Interdisciplinary BioCenter talks about text mining from biomedical literature. The talk has been at Workshop on Parallel and Distributed Processing of Large Genome Data organized by GCOE Program: Deciphering Genome Sphere from Genome Big Bang.
Views: 1546 togotv
Data Mining and Text Analytics - Quranic Arabic Corpus
 
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Presentation on the Quranic Arabic Corpus. by Ismail Teladia and Abdullah Alazwari.
Views: 940 Ismail Teladia
6 Tricks to NEVER Run Out of Things to Say! (How to Keep a Conversation Going)
 
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Get 2 Months FREE! http://skl.sh/alpha9 Special alpha m. thank you to skillshare for being amazing and for sponsoring this awesome video! BEST Teeth Whitening System: https://olliesmile.com Best Hair Product in The UNIVERSE! http://peteandpedro.com Use Code: YOUAREAWESOME20 for 20% OFF Your Order! Best Skin Care In The UNIVERSE! https://tiege.com Use code: ALPHAM25 for 25% OFF your 1st Tiege Hanley kit! http://tiege.com All promotion and advertising inquiries: [email protected] Check out my NEW website: http://www.alpham.com The BEST Hair Styling Products http://www.peteandpedro.com All Things Alpha M. http://www.alpham.com Pete & Pedro: http://www.peteandpedro.com My Website: http://www.iamalpham.com My Services and Products: http://www.aaronmarino.com Best Hair Product: http://www.peteandpedro.com Tiege Hanley Skin Care: http://www.tiege.com Best Grooming Tool: http://bit.ly/2tiyTXO Alpha M. App: http://www.alphamapp.com/ Best Hair Product: http://www.peteandpedro.com Free Hairstyle E-Book: http://www.iamalpham.com/ezine FaceBook: https://www.facebook.com/IAmAlphaM Twitter: https://twitter.com/IAmAlphaM Instagram: https://www.instagram.com/aaronmarino/ My Businesses: http://www.alpham.com Alpha M. Consulting: http://www.aaronmarino.com i am alpha m: http://www.iamalpham.com Pete & Pedro: http://www.peteandpedro.com MENfluential Media: http://www.menfluential.com MENfluential Conference: http://menfluentialconference.com/ Tiege Hanley: http://tiege.com In this video men's style, grooming, fitness and lifestyle expert, Aaron Marino of IAmAlphaM, AaronMarino, and Pete & Pedro is a small talk master which gives him a competitive advantage. If you master this skill, you can kick life's ass! Alpha's giving you some of his secrets. Master Small Talk with These Tips 1. Ask the secret question - "So, what's your story?" 2. Ask questions which lead to more questions - information nugget after information nugget 3. Find something you have in common and then talk about that 4. Learn constantly 5. Talk about things you love or the other person loves 6. Tell a good story - take someone emotionally through what you're talking about by covering characters, setting, plot, conflict, and resolution. Body language is powerful too. Keep That Conversation Rolling! Get 2 Months FREE! http://skl.sh/alpha9 Skillshare has over 23,000 classes in everything from design, business, technology, entrepreneurship, photography, film, writing, and more! Get two months FREE for the first 500 people.After that it's less than $10 per month. Sophia Chang's Analytics & Authenticity on Instagram was Alpha's last class. He said you have to check it out if you have an Instagram account - hashtag strategies and crafting your stories are two topics. Alpha's also taken Simon Sinek's Presentation Essentials: How to Share Ideas That Inspire Action FOUR TIMES! Simon is a rock star and Alpha's man crush. Hit the link for two months free for learning and knowledge to keep that conversation rolling!
Views: 685281 alpha m.
Big Data Analysis and Artificial Intelligence
 
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Maruti Techlabs has a solution for the 'Big Data' problem which involves Artificial Intelligence. The solution also uses text analytics and Natural Language Processing to establish relationship among words and finds keywords to match the user input. Visit our website for more details- http://www.marutitech.com/ You can also find us on: Twitter - https://twitter.com/MarutiTech LinkedIn - http://buff.ly/1QCoBS3 Facebook - https://www.facebook.com/marutitech
Power Query: Keep all Capital Letters with Text.Select in M-Code
 
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Rahim Ali asked me about how to keep only capitol letters. For example: France: F United States: USA Republic of China: ROC United Arab Emirates: UAE South Korea: SK (In this video I use names as examples to work with.) This can be done with Excel's Flash Fill but that's not a dynamic solution. For something dynamic we use Power Query and it's a little tricky and we make clever use of Add Column from Example. We have to go into the m-code and convert: Text.Remove to Text.Select. And then we can have Power Query select only A thru Z And then ... a TWIST! We've got a problem with the character: É I show you one way of dealing with that! This video also includes a summary of Excel Days 2018 in Sofia, Bulgaria where I had the pleasure to give the keynote presentation and teach a 7-hr Master Class on Excel and Power Query. For an intro to Get & Transform (Power Query) try my Lynda/LinkedIn course: https://www.linkedin.com/learning/instructors/oz-du-soleil?trk=insiders_28299411_learning Website: http://ozdusoleil.com My book: Guerrilla Data Analysis 2nd Edition http://www.amazon.com/Guerrilla-Analysis-Using-Microsoft-Excel/dp/1615470336 My old blog: http://datascopic.net/blog-2-2
Views: 997 Excel On Fire
Trying Products That Asked To Sponsor Me (Not Sponsored)
 
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So basically since we started making YouTube videos, we've gotten a number of *interesting* requests to our business email from companies who want to sponsor us or partner with us. So I decided to find 4 intriguing entries to our business email, NOT sponsored order them, and try them out, to see if I was missing out on anything! We tried a Japanese snack box, a free wifi map app, an ultra-portable seat, and an online psychic app. What do you guys think of my not sponsored haul? And yes, this video is NOT sponsored! PS - I know we are missing one blur, I just fixed it on my end in the YouTube edit screen and that is in process! Please don't harass the psychic in question! Thank ye :) Products Mentioned: ZenPop Japanese Subscription Box Free Wifi Map App Sitpack Portable Seat Kasamba Psychic App Safiya's Instagram: https://www.instagram.com/safiyany/ Twitter: https://twitter.com/safiyajn Facebook: https://www.facebook.com/safnygaard/ MUSIC Via Audio Network Assistant Editors: Emily Linden & Claire Wiley
Views: 7868706 Safiya Nygaard
Build on Serverless - Process Tweets Like a Pro
 
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Use AWS Lambda to analyze a stream of tweets and perform sentiment analysis in this live stream on www.twitch.tv/aws. Senior Software Development Engineer, James Hood, and Specialist Solutions Architect, Heitor Lessa, walk you how to build a serverless app to process tweets in real-time without having to learn how to interact with the Twitter API. James and Heitor guide you through coding and deploying a Lambda function that processes tweets from the AWS Serverless Twitter Event Source app, available in the AWS Serverless Application Repository. In this Build on Serverless Twitch stream, you'll work with the AWS Serverless Application Repository, AWS Lambda, Amazon DynamoDB, Amazon Comprehend and, more importantly, Java code. Learn More about Serverless: https://aws.amazon.com/serverless/ Watch past Build on Serverless broadcasts: https://aws.amazon.com/developer/community/twitch/recordings See the upcoming Build on Serverless Schedule: https://aws.amazon.com/developer/community/twitch/ Join the Serverless conversation on Slack: https://awssamopensource.splashthat.com/ Get an overview of the Serverless Applications Lens: https://d1.awsstatic.com/whitepapers/architecture/AWS-Serverless-Applications-Lens.pdf RSVP for future Build on Serverless episodes: https://www.twitch.tv/events/umX-DTI8Q3qWl0pXKgxhUw
Views: 1362 Amazon Web Services
Digital Marketing App in Hindi | SEO Interview & Quiz Questions | Google Analytics & Search Console
 
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Learn SEO, SMO, PPC and Digital Marketing in Hindi, Download App Android App : https://goo.gl/8yLVji IOS App : https://apple.co/2L40Ngo Become Digital with 360DigitalGyan.com This app contains digital marketing tutorials designed specifically for beginners who want to start their career in digital marketing but don't know from where they should start WsCube Tech presents before you a step by step guide to learn how to do online marketing, the 360 Digital Gyan-Learn SEO and Digital Marketing app. The app teaches you the ways by which you can create a place for your business in the Online World. This free application comes loaded with categories, each containing textual and visual data, ensuring the complete understanding of the topic. This app has been crafted for all beginners or professional. Browse through our modules for- Digital Marketing, SEO (Search Engine Optimization), SMO (Social Media Optimization), SEM (Search Engine Marketing), Google AdWords, Google Analytics, Google webmaster, PPC, e-mail marketing, content marketing, Facebook marketing, twitter marketing and many more with new content being added regularly. The topics covered in this app are- -Digital Marketing -SEO (Search Engine Optimization) -SEM (Search Engine Marketing) -SMO (Social Media Optimization) -SMM (Social Media Marketing) -PPC (Pay per Click) -Google Analytics -Google Webmaster -Google AdWords -Email Marketing -YouTube Marketing -Facebook Marketing -Twitter Marketing -Web Analytics -more topics coming soon ***Our Key Features*** -Streaming of videos from youtube channel -Text and Videos lessons -New content updated Every week -Easy to understand study material -Quiz questions to track the learning status. The result can be shared and mailed too -Interview questions on all topics- digital marketing, seo, smo, email marketing, ppc, google analytics, search console, and more. This app is a full-fledged guide for digital marketing step by step which will- -help you land the IT job you want or work as a freelancer -will guide you and help you succeed in the online internet business So, install the app now..Become Digital with 360digitalgyan app & www.360digitalgyan.com!! Our Latest Digital Marketing Videos Collection SEO Updates | Google March 2019 Update | First Reactions & Insights :- https://www.youtube.com/watch?v=veOvdkwUAFw Create App Install Campaign | Increase your App Downloads | Part 1 :- https://www.youtube.com/watch?v=FrZZnpd3UkU App Install Campaign | In depth practical Analysis of App Install Campaign Part 2 :- https://www.youtube.com/watch?v=_zR_Tre61bg What are Chatbots, Types and Implementation ? | A Beginners Guide – ( In Hindi) :- https://www.youtube.com/watch?v=rfP4VDkXZhc Digital Marketing Careers, Job Profile and Salaries in India in 2019 ( Hindi) :- https://www.youtube.com/watch?v=gPa24OUvMa0 SEO Tutorial | How to Rank #1 with SEO Friendly Website Design? :- https://www.youtube.com/watch?v=PH7KrxdyMCA Instagram Hacks | Top Tips to Create Engaging Instagram Content In Hindi  :- https://www.youtube.com/watch?v=dm3gKc2abbc What is Google Forms ? | How to Create Google Forms Explained Step by Step :- https://www.youtube.com/watch?v=IeMwRHKFPGo What is Google Tag Manager GTM? | Google Tag Manager Working & benefits Explained in Hindi :- https://www.youtube.com/watch?v=0NoEuZI5l4s What is Google Lens ? | How to use Google Lens Explained in Hindi :- https://www.youtube.com/watch?v=kNUrAC7gEbE What is Alexa Traffic Rank? | How to use Alexa for SEO in 2019? :- https://www.youtube.com/watch?v=hvlQ6UzNiWE How to do Basic OnPage Audit using Free Tool ? | SEO Tutorial :- https://www.youtube.com/watch?v=9u8uov01smU How to Check Do Follow & No Follow Backlinks in Hindi ? | SEO Tutorial :- https://www.youtube.com/watch?v=KUhvFnOGFyo What is DropShipping? | DropShipping Model | DropShipping Platforms :- https://www.youtube.com/watch?v=0jLfovBUnxc How Search Engine Works? Introduction to Search Engine 2019 | What is Indexing? :- https://www.youtube.com/watch?v=vaBQ4OmZO5U What is Google My Business - Part 1 | Setting up Google My Business Account | Step by Step Guide :-https://www.youtube.com/watch?v=5RWHL3NfJMA Google My Business 2019 - Part 2 | Complete Understanding of Google My Business Dashboard :- https://www.youtube.com/watch?v=eJC1LTUM5Cg Introduction to Local SEO 2019 | Google My Business | Local SERPs :- https://www.youtube.com/watch?v=QEjaQNdk6UQ Types of SEO | Black Hat SEO | Grey Hat SEO | SEO Tutorial :- https://www.youtube.com/watch?v=ZhYPrAYRQ-8 Please don’t Forget to Like, Share & Subscribe Subscribe: http://bit.ly/wscubechannel Facebook : https://www.facebook.com/wscubetech.india Twitter : https://twitter.com/wscube Instagram : https://www.instagram.com/wscubetechindia/ Linkedin : https://www.linkedin.com/company/wscube-tech/ Google + : https://plus.google.com/+wscubetechjodhpur Youtube : https://www.youtube.com/c/wscubetechjodhpur Website: http://wscubetech.com
Views: 8270 WsCube Tech
The Best of AI | Insights from Recent Articles on Artificial Intelligence
 
05:29
Artificial intelligence is hot field and is much in demand skill for data science and related fields. This video provides insights based on recent articles. Machine Learning videos: https://goo.gl/WHHqWP Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Deep Learning with TensorFlow: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE
Views: 581 Bharatendra Rai
Alvaro Soler - Sofia Lyrics English and Spanish - Tranlsation & Meaning - Letras en ingles
 
03:42
Learn more Spanish with music with the lirica app! Try it for free from http://lirica.io Alvaro Soler - Sofia Lyrics English and Spanish - Tranlsation & Meaning - Letras en ingles Apple and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries. Google Play and the Google Play logo are trademarks of Google Inc. -~-~~-~~~-~~-~- Watch next: "Learn Spanish with Si Tú La Ves - Nicky Jam Ft Wisin - Lirica App Demo - Lyrics English and Spanish" https://www.youtube.com/watch?v=AYZHLY0vPiY -~-~~-~~~-~~-~-
Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka
 
04:52:51
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training * This Edureka video on "Artificial Intelligence" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. Following topics are covered in this video: 02:27 History Of AI 06:45 Demand For AI 08:46 What Is Artificial Intelligence? 09:50 AI Applications 16:49 Types Of AI 20:24 Programming Languages For AI 27:12 Introduction To Machine Learning 28:08 Need For Machine Learning 31:48 What Is Machine Learning? 34:13 Machine Learning Definitions 37:26 Machine Learning Process 49:13 Types Of Machine Learning 49:21 Supervised Learning 52:00 Unsupervised Learning 53:44 Reinforcement Learning 55:29 Supervised vs Unsupervised vs Reinforcement Learning 58:23 Types Of Problems Solved Using Machine Learning 1:04:49 Supervised Learning Algorithms 1:05:17 Linear Regression 1:11:20 Linear Regression Demo 1:26:36 Logistic Regression 1:35:36 Decision Tree 1:55:18 Random Forest 2:07:31 Naive Bayes 2:14:37 K Nearest Neighbour (KNN) 2:20:31 Support Vector Machine (SVM) 2:26:40 Demo (Classification Algorithms) 2:42:36 Unsupervised Learning Algorithms 2:42:45 K-means Clustering 2:50:49 Demo (Unsupervised Learning) 2:56:40 Reinforcement Learning 3:24:36 Demo (Reinforcement Learning) 3:31:41 AI vs Machine Learning vs Deep Learning 3:33:08 Limitations Of Machine Learning 3:36:32 Introduction To Deep Learning 3:38:36 How Deep Learning Works? 3:40:48 What Is Deep Learning? 3:41:50 Deep Learning Use Case 3:43:14 Single Layer Perceptron 3:50:56 Multi Layer Perceptron (ANN) 3:52:55 Backpropagation 3:54:39 Training A Neural Network 4:01:02 Limitations Of Feed Forward Network 4:03:18 Recurrent Neural Networks 4:05:36 Convolutional Neural Networks 4:09:00 Demo (Deep Learning) 4:29:02 Natural Language Processing 4:30:53 What Is Text Mining? 4:32:43 What Is NLP? 4:33:26 Applications Of NLP 4:35:53 Terminologies In NLP 4:41:19 NLP Demo 4:47:21 Machine Learning Masters Program -------------------------- Python Course: https://www.youtube.com/watch?v=vaysJAMDaZw Statistics and Probability Tutorial: https://www.youtube.com/watch?v=XcLO4f1i4Yo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4 #edureka #aiEdureka #artificialIntelligence #artificialIntelligenceTutorial #artificialIntelligenceFullCourse #artificialIntelligenceEngineer Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Slideshare: https://www.slideshare.net/EdurekaIN/ ------------------------------------- About the Masters Program Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master's Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ---------------------- Prerequisites There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry. -------------------------------------- Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information
Views: 74405 edureka!
Deemed too dangerous, OpenAI won't release their latest text generating model GPT-2
 
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OpenAI's latest text generating transformer model "GPT-2" is so difficult to differentiate its output from that of a human that they won't release the trained model in the public domain. MORE: Blog or code: http://www.viralml.com/video-content.html?fm=yt&v=H1lncbq8NC0 Signup for my newsletter and more: http://www.viralml.com Connect on Twitter: https://twitter.com/amunategui My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud: https://amzn.to/2PV3GCV Grow Your Web Brand, Visibility & Traffic Organically: 5 Years of amunategui.github.Io and the Lessons I Learned from Growing My Online Community from the Ground Up: https://amzn.to/2JDEU91 Fringe Tactics - Finding Motivation in Unusual Places: Alternative Ways of Coaxing Motivation Using Raw Inspiration, Fear, and In-Your-Face Logic https://amzn.to/2DYWQas Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK Defense Against The Dark Digital Attacks: How to Protect Your Identity and Workflow in 2019: https://amzn.to/2Jw1AYS Articles OpenAI Blog Entry: Better Language Models and Their Implications https://blog.openai.com/better-language-models Sunspring: https://www.youtube.com/watch?v=LY7x2Ihqjmc Sunspring | A Sci-Fi Short Film Starring Thomas Middleditch Full transcript: Hello Friends! Deemed too dangerous, OpenAI won't release their latest text generating model GPT-2. OpenAi - the organization partly founded by Elon Musk just posted a blog piece entitled 'Better Language Models and Their Implications' in which they trained a large Generative Pre-trained Transformer model with 1.5 billion parameters, trained on a dataset of 8 million web pages named it GPT-2. They say that it is so difficult to differentiate its output from a human, that it did not release the trained model in the public domain. This is Manuel Amunategui and Welcome to ViralML! AI text generator not released for concerns about implications (openai.com) https://blog.openai.com/better-language-models/#sample5 Here is a sample Human writing starter piece: In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English. MODEL COMPLETION The scientist named the population, after their distinctive horn, Ovid’s Unicorn. These four-horned, silver-white unicorns were previously unknown to science. Now, after almost two centuries, the mystery of what sparked this odd phenomenon is finally solved. Dr. Jorge Pérez, an evolutionary biologist from the University of La Paz, and several companions were exploring the Andes Mountains when they found a small valley, with no other animals or humans. Pérez noticed that the valley had what appeared to be a natural fountain, surrounded by two peaks of rock and silver snow. Pérez and his friends were astonished to see the unicorn herd... This is interesting on many levels. These transformer models are becoming very popular compared to regular recurrent or LSTM models. They are still neural networks as they can be parallelized when training so as long as you have the computational network, you can learn on enormous text corpora. Remember the movie 'Sunspring' with Thomas Middleditch from Silicon Valley? The script was made using recurrent neural networks trained on sci-fi screenplays Sunspring | A Sci-Fi Short Film Starring Thomas Middleditch https://www.youtube.com/watch?v=LY7x2Ihqjmc It's completely absurd and awesome. So is the GPT-2 model. The problem with both examples is one is overfitting while the other isn't. Open-AI's GPT-2 is overfitting thus returning realistically sounding text, maybe even plagiarism some of these websites, while the Sunspring is underfitting thus sounding absurd. I know, you like I am awaiting for AI to write stories that aren't about whether they sound real or not, but that is new with original, even primordial, thinking. Neither examples shown today do that. We need poetry that moves us, stories that captivate us, we want to discover new literary grounds but as long as all we're doing is finding faster ways of duplicating the human knowledge base, we're not gonna get there. Well, stay tuned, we'll see what comes next... CATEGORY:StateOfIndustry
Views: 2040 Manuel Amunategui
My Dead Best Friend Is Now a Chatbot
 
03:02
Oct. 20 -- Last year Eugenia Kuyda lost her friend Roman in an accident. But she was determined not to lose his memory. She gathered all the texts Roman sent over his short life and made a chatbot – a program that responds automatically to text messages. Now whenever she is missing Roman, Eugenia sends the chatbot a message and Roman’s words respond. Like this video? Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg?sub_confirmation=1 And subscribe to Bloomberg Politics for the latest political news: http://www.youtube.com/BloombergPolitics?sub_confirmation=1 Bloomberg is the First Word in business news, delivering breaking news & analysis, up-to-the-minute market data, features, profiles and more: http://www.bloomberg.com Connect with us on... Twitter: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/ Bloomberg Television brings you coverage of the biggest business stories and exclusive interviews with newsmakers, 24 hours a day: http://www.bloomberg.com/live Connect with us on... Twitter: https://twitter.com/bloombergtv Facebook: https://www.facebook.com/BloombergTelevision Instagram: https://www.instagram.com/bloombergtv
Views: 30618 Bloomberg
City USED by Alexis Sanchez? FTD PODCAST #20 Live!
 
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Have Manchester United bid for Alexis Sanchez or are media reports a way of securing his move to City? It's our LIVE Podcast! We also look ahead to Manchester United vs Stoke City in the Premier League! TO GET INVOLVED COMMENT AND SEE BELOW! We have taken over XS Manchester's Football Social radio show every Thursday! HOW TO GET INVOLVED 6-7pm GMT Thursdays Listen: 106.1 FM in Manchester Online: http://www.xsmanchester.co.uk App: http://www.xsmanchester.co.uk/how-to-listen/ Call +44 (0)345 111 7625 (local call charge in U.K.) Text 87711 Subscribe, FREE, for more MUFC: http://bit.ly/DEVILSsub Subscribe to The Football Republic: http://bit.ly/1Nsw8Uq About FullTimeDEVILS: We are YouTube's largest football fan channel for Manchester United fans! Bringing you big match previews, post-match reaction and reviews, tactical analysis, player debates and much more! If you're a red, we want you to get involved; whatever you want to say about United you can say it in the comments below. And to become one of our Devil pundits and be on the shows, here's how you can get in touch: Twitter: https://twitter.com/FullTimeDEVILS Facebook: https://www.facebook.com/FullTimeDEVILS G+: https://plus.google.com/+FullTimeDevils
Views: 38552 FullTimeDEVILS
Descendants Cast - Stronger (Official Music Video)
 
03:22
"Stronger" performed by Dove Cameron & China Anne McClain is available for download: http://disneymusic.co/strongerDCDL Watch Under the Sea: A Descendants Story on Disney Channel and on the DisneyNOW app. Music video by Dove Cameron, China Anne McClain performing Stronger. © 2018 Walt Disney Records #Descendants #Stronger #Vevo
Views: 14535582 DisneyMusicVEVO
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginners | Edureka
 
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( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. The video covers the following topics: 1. AI as a threat 2. What is AI? 3. History of AI 4. Machine Learning & Deep Learning examples 5. Dependency on AI 6.Applications of AI 7. AI Course at Edureka Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete AI & Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE --------------------------------------------------------------------------- About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. Please write back to us at [email protected] or call us at +91 88808 62004 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 135024 edureka!
Top 10 Hottest Artificial Intelligence Technologies 2017
 
04:05
Natural Language Generation: Producing text from computer data. Currently used in customer service, report generation, and summarizing business intelligence insights. Sample vendors: Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, Yseop. Speech Recognition: Transcribe and transform human speech into format useful for computer applications. Currently used in interactive voice response systems and mobile applications. Sample vendors: NICE, Nuance Communications, OpenText, Verint Systems. Virtual Agents: “The current darling of the media,” says Forrester (I believe they refer to my evolving relationships with Alexa), from simple chatbots to advanced systems that can network with humans. Currently used in customer service and support and as a smart home manager. Sample vendors: Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft, Satisfi. Machine Learning Platforms: Providing algorithms, APIs, development and training toolkits, data, as well as computing power to design, train, and deploy models into applications, processes, and other machines. Currently used in a wide range of enterprise applications, mostly `involving prediction or classification. Sample vendors: Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree. AI-optimized Hardware: Graphics processing units (GPU) and appliances specifically designed and architected to efficiently run AI-oriented computational jobs. Currently primarily making a difference in deep learning applications. Sample vendors: Alluviate, Cray, Google, IBM, Intel, Nvidia. Decision Management: Engines that insert rules and logic into AI systems and used for initial setup/training and ongoing maintenance and tuning. A mature technology, it is used in a wide variety of enterprise applications, assisting in or performing automated decision-making. Sample vendors: Advanced Systems Concepts, Informatica, Maana, Pegasystems, UiPath. Deep Learning Platforms: A special type of machine learning consisting of artificial neural networks with multiple abstraction layers. Currently primarily used in pattern recognition and classification applications supported by very large data sets. Sample vendors: Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology, Sentient Technologies. Biometrics: Enable more natural interactions between humans and machines, including but not limited to image and touch recognition, speech, and body language. Currently used primarily in market research. Sample vendors: 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, Tahzoo. Robotic Process Automation: Using scripts and other methods to automate human action to support efficient business processes. Currently used where it’s too expensive or inefficient for humans to execute a task or a process. Sample vendors: Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, WorkFusion. Text Analytics and NLP: Natural language processing (NLP) uses and supports text analytics by facilitating the understanding of sentence structure and meaning, sentiment, and intent through statistical and machine learning methods. Currently used in fraud detection and security, a wide range of automated assistants, and applications for mining unstructured data. Sample vendors: Basis Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, Synapsify.
Views: 44070 TicTacToe Media
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Training | Edureka
 
11:59
** AI & Deep Learning with Tensorflow Training : https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video of "Chatbots using TensorFlow" gives you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning. Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Check out our Deep Learning blog series: https://bit.ly/2xVIMe1 Check out our complete Youtube playlist here: https://bit.ly/2OhZEpz - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. --------------------------------- Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #Autoencoder #Tensorflow #DeepLearning #NeuralNetworks #python #MachineLearning #DimensionalityReduction ------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 38987 edureka!
An Approach to Unsupervised Historical Text Normalization
 
34:26
Petar Mitankin. Sofia University. Digitisation Days, 19-20 May, 2014. BNE (Madrid)
I Got A "Perfect" Makeover Based On My Features
 
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I got a hair cut and color based on my face shape and skin tone, an outfit based on my body type and complexion, and a full face of makeup based on my skin and eye shape and color! Featuring Stacy London & Brad Mondo! Make sure to check out Brad's behind the scenes hair cut video here! https://www.youtube.com/watch?v=D6Oy4LfoqsU And check out Stacy's instagram here! https://www.instagram.com/stacylondonreal/ So I've always wondered what it would be like to follow all of the advice for my body type, face shape, skin tone, hair color, eye color, etc - and see if what I "should" be wearing based on my physical features is any better than what I already like to. So with the help of some experts, I went on a makeover journey and got a head-to-toe "perfect" makeover! Don’t forget to click the bell to turn on post notifications! Safiya's Nextbeat: https://nextbeat.co/u/safiya IG: https://www.instagram.com/safiyany/ Twitter: https://twitter.com/safiyajn Facebook: https://www.facebook.com/safnygaard/ This video is NOT sponsored! Assistant Editor: Emily Linden, Claire Wiley, Ben King MUSIC Mind The Gap Top Banana Magazine Cafe Latte Tango Fusion Sharp Dresser Jet Setter Oohs And Ahhs via Audio Network SFX via AudioBlocks
Views: 13934086 Safiya Nygaard
Datawatch and IBM Watson Analytics
 
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In today’s high speed analytics marketplace it is no surprise that data volumes and sources are expanding at an accelerating rate. On a daily basis, analysts spend up to 80 percent of their time collecting data from numerous sources such as the web, pdf’s, text reports, log files and many more to prepare it for analysis. Analysts are further challenged to make this data actionable with the use of data discovery and business analytics. The alliance between Datawatch and IBM Watson Analytics offers businesses the fastest and most easy-to-use applications which significantly reduce time spent on data extraction, data preparation and sense-making. Datawatch Monarch works with a wide range of report formats including PDF, XML, HTML, text, spool and ASCII files. Analysts can easily access data from invoices, sales reports, balance sheets, customer lists, inventory, logs and more. Data is then cleansed and consolidated and sent directly to Watson Analytics. Analysts can now focus on translating their data into business value and insights, using the powerful cognitive computing of Watson Analytics. The intuitive and visual experience enables any business user to create and deliver relevant and up-to-date decision support in the form of visual data discovery dashboards and reports to their entire organization. The combination of Datawatch data preparation and Watson Analytics means that all available data is included. Let us help you provide your business with the fastest and easiest tools for data acquisition, preparation, and business analytics.
OMICS Group introduces biomarkers creation by text mining
 
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The paper in novel biomarkers investigates ways of text mining that can be employed in development of new markers, reported in open access journal
Use AI and bots to improve real-time communications with natural language processing
 
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https://developer.ibm.com/code/techtalks/use-ai-bots-improve-real-time-communications-natural-language-processing/ Tools that can translate and convert speech to text and vice versa can improve how fast people are warned and assisted. IBM Owner: Amara Keller
Views: 522 IBM Developer
HPC Event in Sofia - The growing role of HPC in Neuroscience – the Human Brain Project FET Flagship
 
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This session will show the coupling of scientific progress in brain research with advances in extreme-scale computing. Simulation and data analytics in neuroscience, but also brain medicine illustrate the successful application of HPC in this field. Methodical progress in handling and analysing large amounts of data, e.g., by deep learning, open new perspectives to address highly complex systems such as the brain.
Important issues facing Women in the Data Science Community, Speaker 20181205
 
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Panel on Important issues facing Women in the Data Science Community (Moderator) Sophia Viklund https://www.linkedin.com/in/sophiaviklund/ Sophia Viklund is an entrepreneur, public speaker, advisor, mentor to startups, investor, and an advocate of women and girls in STEM education (Science, Technology, Engineering and Mathematics). She is an investor with The Band of Angels. Sophia is currently centrally engaged as CEO and Founder of New Sun Technologies Inc., a Silicon Valley-based company that produces innovative products in the area of A.I. to improve the lives of the ageing population. Sophia is a technical board member of Open Source Vision Foundation, a global organization dedicated to computer vision, with over 30 million members worldwide. Dr. Hui Wang https://www.linkedin.com/in/hui-wang-395130/ is VP of Data Science for PayPal. Dr. Wang manages the data science team developing machine learning and data mining technologies for PayPal. Her team owns fraud and risk models that are backbones for PayPal’s Risk Management, as well as various data science solutions to support product, marketing, sales and customer service. She is expert in many machine learning technologies. Additionally, she plays a designer role in architecting many next generation analytic products to enable modern machine learning for real time detection and decision systems. Her team won ComputerWorld 2015 Data+ Editor’s Choice Award and she was the winner of 2016 Women in Payment Innovation Award. She holds B.S. in Computer Science from University of Science and Technology of China and Ph.D. in Statistics from University of California, Berkeley. Dr. Viji Krishnamurthy, https://www.linkedin.com/in/viji-krishnamurthy-3a63981/, leads analytics for IoT and Blockchain apps at Oracle. Viji is a specialist in applying AI/ML to industrial and consumer applications where self optimization and autonomy are desired. As a data scientist, Viji has helped to automate manufacturing decisions and helped to optimize product quality, supply chain and product pricing at various high tech manufacturing companies. Viji has also managed IoT platforms and released analytics rich applications for consumers and industrial users in Smart Building, Industrial IoT and Consumer Electronics companies. Viji holds a Ph.D. in Operations Research from Northwestern University and, is a proud Wildcat and a Sun Devil. Dr. Sheng You, https://www.linkedin.com/in/shengyou/, got her Ph.D. in Electrical Engineering at Northeastern University in 2014. She has been working in data science since 2013, most recently at FogHorn Systems Karen Ebert Matthys, Executive Director, External Partners, Institute for Computational & Mathematical Engineering at Stanford Univ. Karen develops relationships with companies interested in collaboration around machine learning, data science, computational math, and high performance computing. Karen is also an Advisory Board member for the Stanford Catalyst promoting inter-disciplinary research. Karen is co-Founder and co-Director of the Women in Data Science Conference which reached over 100,000 participants in 2018. Her previous positions include Director of Marketing Strategy at Cellular One, Lecturer at Stanford Graduate School of Business, Innovation Partner at SRI International, and management positions at Apple. http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/
Innovations in Deep Learning Online Webinar
 
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Deep Learning algorithms such as ANNs, CNNs, RNNs, GANs etc. are enabling some highly sophisticated applications in Artificial Intelligence arena. These applications include computer vision, text analytics, speech applications for industries as diverse as financial services, retail, healthcare, legal and contracts, manufacturing etc. This session describes some latest innovations in Deep Learning around image recognition, generative modeling or rewards-based learning.
Views: 65 CellStrat
AI Is The New BI! Texifter Does Unstructured Data
 
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Cloud-based software tools to quickly evaluate large amounts of text, survey, and Twitter data. Combines data science methods with e-discovery text analytics tools to shorten a process that used to last weeks or months. Subscribe to AI is The New BI! channel: https://www.youtube.com/channel/UCQfNRKMf9DVZoUn_gzC-6VQ?sub_confirmation=1
Views: 208 Inside Analysis
Artificial Intelligence with Python - Sequence Learning
 
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Artificial Intelligence with Python - Sequence Learning Enter and explore the fascinating world of intelligent apps with Artificial Intelligence with Python. Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps that intelligently interact with the world around you, automatic speech recognition systems, and more. What You Will Learn: Build automatic speech recognition systems Discover how to build intelligent applications centered on text and time series data. This course takes a concept-based, explanation-focused approach. Each concept is explained and then the exercise or example is implemented. Topics include: Natural Language Processing Introduction and Installation of Packages Tokenizing Text Data Converting Words to Their Base Forms Dividing Text Data into Chunks Extracting the Frequency of Terms Using a Bag of Words Model Building a Category Predictor Constructing a Gender Identifier Building a Sentiment Analyzer Topic Modeling Using Latent Dirichlet Allocation Probabilistic Reasoning for Sequential Data Understanding Sequential Data Handling Time-Series Data with Pandas Slicing Time-Series Data Operating on Time-Series Data Extracting Statistics from Time-Series Data Generating Data Using Hidden Markov Models Identifying Alphabet Sequences with Conditional Random Fields Stock Market Analysis Building a Speech Recognizer Working with Speech Signals Visualizing Audio Signals Transforming Audio Signals to the Frequency Domain Generating Audio Signals Synthesizing Tones to Generate Music Extracting Speech Features Recognizing Spoken Words code link: http://www.mediafire.com/file/935fbc3f39bfbnb/Artificial_Intelligence_with_Python.zip Please subscribe my youtube channel: https://www.youtube.com/c/TutorialPicks viste facebook page and like: https://www.facebook.com/TutorialPicks-181851205578138/ google+ https://plus.google.com/b/101446574680704691865/101446574680704691865 twitter: https://twitter.com/TutorialPicks Playlist:https://www.youtube.com/playlist?list=PLHHEH8A1pSa71KzMXHtU6-jJEjlzNdYhw&playnext=1
Views: 68243 Tutorial Picks
ML #4 - Machine Learning Use Cases with Healthcare AI
 
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We’ll be talking through all of the different models that have been created so far with healthcare.ai. Where will we go next? The sky is the limit! We’ll walk through some future applications of machine learning that we are excited about tackling.
Views: 8062 Healthcare AI
An Inspector Calls: Trailer - BBC One
 
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SUBSCRIBE to the OFFICIAL BBC YouTube channel 👉 https://bit.ly/2IXqEIn LAUNCH BBC iPlayer to watch full BBC programmes online now 👉 https://bbc.in/2J18jYJ More information: http://bbc.in/1JPMkuP After the suicide of a woman, an Inspector calls to interrogate the wealthy Birling family. #bbc
Views: 446580 BBC
Machine Learning, Data Mining and Artificial Intelligence
 
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See our Medaffcon's on how machine learning and AI methods could be applied to (Finnish) RWE data improving personalized patient care now and in the future. The presentation was held in Medaffcon's customer evening April 11th 2018 in Espoo, Finland.
Views: 360 Medaffcon
How to use Speech-To-Text in SnapType
 
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Turn on dictation (also known as speech-to-text) globally but going into the SETTINGS app on your device. Then select GENERAL and finally KEYBOARD. From here, you can toggle DICTATION on or off. There are a few older Apple devices which do not support dictation. The following devices DO support dictation: iPad 3rd generation and newer iPad mini (all) iPhone 4S and newer 5th generation iPod touch and newer Download SnapType on the app store now: https://itunes.apple.com/us/app/snaptype-for-occupational/id866842989?mt=8