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Search results for 부산출장만남경기출장안마[TALK:za32]

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  • Why You Should Attend the Data Science Summit 2016 and 9 Talks To Be Excited About

    ...tanford University. Connect with Jock Talk 3: Product Reviews and NLP: Analysis and Elasticsearch By Lynn Cherny, Data Analysis Consultant About This Talk: This talk will be more hands on. Lynn Cherny will walk you through the exploratory analysis of a product review corpus using Python tools,...

    https://www.kdnuggets.com/2016/07/data-science-summit-2016-9-talks.html

  • Machine Learning Meets Humans – Insights from HUML 2016

    …eployment can be considerably more haphazard and these problems are by no means solved. Mirelle Hildebrandt – The Issue of Bias Mirelle Hildebrandts’ talk was both one of the most entertaining and the toughest to summarize. The talk alternately addressed the law, bias, and the fundamental task of…

    https://www.kdnuggets.com/2017/01/machine-learning-humans-huml-2016.html

  • Becoming a Data Scientist">Silver BlogBecoming a Data Scientist

    ...through blogs or podcasts.   Podcasts   You can convert commute time, your time at gym, etc to useful time by listening to these podcasts. Talk Python to Me The Talking Machine Data Skeptic Linear Digressions Partially Derivative Python Bytes   Blogs   You should keep up to...

    https://www.kdnuggets.com/2018/01/feizpour-becoming-data-scientist.html

  • O’Reilly NYC AI Conference Highlights: Explainable AI, Vector Representation, Bias, and Future

    ...which can then be "unwound" in a similar fashion to retrieve previous words in a sequence, or sub-meanings of a phrase. Chu-Carroll mentioned in her talk that vector representations were the new approach to the lower level implementation of NLP systems, and that they were making gains in...

    https://www.kdnuggets.com/2017/08/oreilly-nyc-ai-conference-highlights.html

  • Top 20 ODSC 2020 Global Virtual Conference Sessions

    ...te Carlo algorithms that have enabled effective Bayesian statistical computation for much more complicated models than were previously feasible. This talk will give an introduction to probabilistic programming with PyMC3. 15. The Software GPU: Making Inference Scale in the Real World: Nir Shavit,...

    https://www.kdnuggets.com/2020/03/odsc-2020-global-virtual-conference.html

  • STRATA + Hadoop World 2014 NYC Report

    ...those paths take you. The next talk I attended had the enticing title of “Big Data Architectural Patterns”. The title was about the best part of the talk. Going to a vendor talk is a bit like a recently converted vegetarian going to a steak house. It may look good, but if you are not using that...

    https://www.kdnuggets.com/2014/11/strata-hadoop-world-2014-nyc-report.html

  • Top KDnuggets tweets, Oct 6-7: Great TED talk by @KnCukier “Big Data is better data”; Top 10 One-Person Startups

    ...talk by @KnCukier "Big Data is better data" - what is the future of #BigData-driven technology and design? t.co/ocECMDG4Yp Most Favorited: Great TED talk by @KnCukier "Big Data is better data" - what is the future of #BigData-driven technology and design? t.co/ocECMDG4Yp Most Viewed: Great TED...

    https://www.kdnuggets.com/2014/10/top-tweets-oct06-07.html

  • ODSC India Highlights: Deep Learning Revolution in Speech, AI Engineer vs Data Scientist, and Reinforcement Learning for Enterprise

    ...pervised and unsupervised learning. Roy said, “Supervised ML cannot learn a game better than humans as it’s trained by human player’s data” . He also talked about some recent applications of RL as listed below: While concluding his talk he mentioned that there’s a huge engineering aspect to RL,...

    https://www.kdnuggets.com/2018/09/odsc-india-highlights.html

  • Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision

    ...uct     A single developer with no computer vision experience can create an effective cloud-based vision solution in months (Chris Adzima’s talk) 3D camera modules now cost around $20-30 (Guillaume Girardin’s talk) Binary neural networks can dramatically lower the cost and power...

    https://www.kdnuggets.com/2019/05/kanade-lessons-career-computer-vision.html

  • Text Data Preprocessing: A Walkthrough in Python">Gold BlogText Data Preprocessing: A Walkthrough in Python

    ...e for a discussion on lemmatization vs. stemming. Stemmed: ['titl', 'goe', 'bold', 'text', 'it', 'text', 'stil', 'run', 'ran', 'run', 'stop', 'run', 'talk', 'talk', 'talk', 'run', 'ran', 'talk', 'run', 'sebast', 'nicola', 'alejandro', 'jeronimo', 'going', 'stor', 'tomorrow', 'morn', 'someth',...

    https://www.kdnuggets.com/2018/03/text-data-preprocessing-walkthrough-python.html

  • ICLR 2019 highlights: Ian Goodfellow and GANs, Adversarial Examples, Reinforcement Learning, Fairness, Safety, Social Good, and all that jazz

    ...no-reward reinforcement learning. The subject was well represented with the Task-Agnostic Reinforcement Learning workshop, multiple posters and short talks, as well as a great talk by Pierre-Yves Oudeyer, discussing curiosity-driven learning, where information-gain is used as an intrinsic reward,...

    https://www.kdnuggets.com/2019/05/iclr-2019-highlights.html

  • Machine Learning Reveals 9 Elements of Deal-Closing Sales

    …use case that was talked about the most by the customer during the discovery phase of the sales cycle. In other words, if a customer spent 7 minutes talking about “coaching,” 4 minutes talking about “onboarding,” and 5 minutes talking about “pipeline management” during the prior discovery call,…

    https://www.kdnuggets.com/2017/09/gongio-9-elements-deal-closing-sales-demos.html

  • KDD-2014 report, part 2: The Magic Module network and Privacy vs Big Data

    ...book or even running some cool R data mining scripts during the talks. I can imagine an app that will measure in real-time the interestingness of the talk by changes in wifi activity during the talk. Any takers? In the evening on Tue, Aug 26 Bloomberg corporation has sponsored a great reception at...

    https://www.kdnuggets.com/2014/09/kdd-2014-magic-module-privacy-vs-big-data-part2.html

  • Voices in AI – great conversations with leaders in AI, Machine Learning, Data Science

    ...human creativity, connectivity with digital systems, AGI, and the workforce. Episode 4: A Conversation with Jeff Dean In this episode, Byron and Jeff talk about AGI, machine learning, and healthcare. Episode 5: A Conversation with Daphne Koller In this episode, Byron and Daphne talk about...

    https://www.kdnuggets.com/2017/10/gigaom-voices-ai-podcast.html

  • Top KDnuggets tweets, Dec 5-11: How to build a data science project from scratch; NeurIPS 2018 video talk collection #NeurIPS2018

    ...gzBu Most Favorited: How to build a data science project from scratch https://t.co/dSVWgmu6Sb https://t.co/67OYeugzBu Most Viewed: NeurIPS 2018 video talk collection #NeurIPS2018 https://t.co/QCuNfgDRyz https://t.co/iRzXajjyEm Most Clicked: How to build a data science project from scratch...

    https://www.kdnuggets.com/2018/12/top-tweets-dec05-11.html

  • 10 Great Talks From SciPy 2016

    ...ia, Berkeley, put together a great list of interesting things he learned while at SciPy. The post is a very inclusive list of projects, as opposed to talks, that came to his attention while onsite, but there is a relationship between SciPy projects and talks. This list can help us narrow things...

    https://www.kdnuggets.com/2016/07/10-great-talks-scipy-2016.html

  • Age of AI Conference 2018 – Day 2 Highlights

    ...st few lines. Unlike all previous human creations, AI is a completely different beast that is progressing exponentially. If a video recording of this talk emerges somehow, don’t miss it! Else, console yourself with this earlier TED talk of his.   Bo Ewald, President @ D-Wave Systems   The...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-2.html

  • Top /r/MachineLearning Posts, Apr 19-25: Neural nets for nipple detection; NHL Goal celebration hack

    ...contexts. If you’re interested in the under-the-hood performance of deep learning, read this post. Related: Top /r/MachineLearning Posts, Apr 12-18: Andrew Ng AMA, Autoencoders, and Deep Learning Textbooks Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning Talking Machine – 3 Deep...

    https://www.kdnuggets.com/2015/04/top-machine-learning-posts-apr19-25.html

  • Big Data Innovation Summit 2014 London: Highlights

    ...ks for a deeper understanding and people who could not attend the summit. Here are highlights: Ankur Gupta, Director, Big Data, Sears Holdings gave a talk on “Transforming Data Architecture Complexity at Sears”. He started his talk citing the following from a recent Wikibon survey: Enterprise...

    https://www.kdnuggets.com/2014/05/big-data-innovation-summit-2014-london-highlights.html

  • Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1

    ...e a lot of people build their careers around the idea of building features.” "In a workshop on the future of computer vision at MIT in 2011, I gave a talk with the topic ‘In five years, all of you will be learning your features’. I was wrong. It only takes three years." In 2012, Yann’s technique is...

    https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p1.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ...ntelligence https://www.rand.org/content/dam/rand/pubs/papers/2006/P3244.pdf   Stephen Wolfram, Founder and CEO, Wolfram Research   Invited Talk Key Points: Stephen Wolfram always invites intense curiosity and interest. A piece of well-known trivia: the thesis committee for his PhD in...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • Transitioning to Data Science: How to become a data scientist, and how to create a data science team">Silver BlogTransitioning to Data Science: How to become a data scientist, and how to create a data science team

    ...for people to research what the company and the team they want to join do beforehand. “Go on YouTube and see if any of the data scientists have given talks recently and watch all of them; see if they've published any papers read them and so that you bring that up in the interview instead of them...

    https://www.kdnuggets.com/2017/12/transitioning-data-science-become-data-scientist-data-science-team.html

  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...rom my talk – using Machine Learning in Music or Design. It is the exciting beginning of work in those areas.   JM: Any startup that you want to talk about? LL: Tons. I can’t really talk about specific ones as we are evaluating or investing in them. I’m looking for applications in...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.html

  • Bias in AI: A Primer

    ...e for Fairness & Inclusion: Confusion Matrix (from Margaret Mitchell's Bias in the Vision and Language of Artificial Intelligence slides).   The talk is a self-contained, single class session of Natural Language Processing with Deep Learning (though it covers language, vision, and more...

    https://www.kdnuggets.com/2020/06/bias-ai-primer.html

  • How I Used Deep Learning To Train A Chatbot To Talk Like Me">Silver Blog, Aug 2017How I Used Deep Learning To Train A Chatbot To Talk Like Me

    Introduction   Chatbots are “computer programs which conduct conversation through auditory or textual methods”. Apple’s Siri, Microsoft’s Cortana, Google Assistant, and Amazon’s Alexa are four of the most popular conversational agents today. They can help you get directions, check the scores...

    https://www.kdnuggets.com/2017/08/deep-learning-train-chatbot-talk-like-me.html

  • Make your Data Talk!

    ...in multivariate data sets. In this post, we look into two of the most popular libraries for visualization of data in Python and use them to make data talk, through visualization: 1.1 Matplotlib Matplotlib was made keeping MATLAB’s plotting style in mind, though it also has an object oriented...

    https://www.kdnuggets.com/2019/06/make-data-talk.html

  • Business Intelligence Innovation Summit 2014 Chicago: Day 1 Highlights

    ...fill any upcoming staffing needs on the team. Vinay Gandhi, Vice President, Business Intelligence & Communications, Citibank gave an interesting talk on "Business Intelligence & Communications". He started his talk with a very interesting quote: "Data is growing at the fastest pace it ever...

    https://www.kdnuggets.com/2014/07/business-intelligence-innovation-summit-2014-chicago-day1.html

  • Viewpoint: Social Media Analysis: What is missing

    ...social media tools stop at just the volumes of how many people came and talked to you or about you but never delve into the details of what is being talked. Tools tell that people are talking about you but not what are they talking about, to whom, how and why those conversations happened. Present...

    https://www.kdnuggets.com/2014/02/social-media-analysis-what-is-missing.html

  • Top Talks and Tutorials From PyData London

    ...ence. The accompanying slides are available here, and the corresponding code is available here. Probablistic Programming Data Science with PyMC3 This talk is given by Thomas Wiecki. The talks begins with an overview of probabilistic programming, and then moves to a more advanced treatment of the...

    https://www.kdnuggets.com/2016/05/top-talks-tutorials-pydata-london.html

  • Business Analytics Innovation Summit 2014 Chicago: Day 2 Highlights

    ...esident, Commercial Analytics , BMO Harris Bank gave an interesting talk on "Transforming Analytics with 'Soft Skills' - How to Get Your Analysts to 'Talk the Talk'". In many companies, rather than driving decisions, the analytics team is reactionary- instead of being strategic partners, they...

    https://www.kdnuggets.com/2014/07/business-analytics-innovation-summit-2014-chicago-day2.html

  • SFBayACM talk: GraphLab framework for
    Machine Learning in the Cloud

    ...e desired performance, while low-level tools such as MPI are difficult to use, leaving ML experts repeatedly solving the same design challenges. This talk describes the GraphLab framework, which naturally expresses asynchronous, dynamic graph computations that are key for state-of-the-art ML...

    https://www.kdnuggets.com/2013/03/sfbayacm-graphlab-framework-for-machine-learning-cloud.html

  • Customer Analytics Summit 2014 Chicago: Day 1 Highlights

    ...of sharing: Sharing -> Insights -> Optimization -> Earned Media -> Larger Audience. Bryan Gumm, Manager, Experimentation Platform & Science, Netflix talked about “A/B Testing + Subscription Models”. He kicked off his talk reviewing subscription-based business. Netflix has a model of free trial and...

    https://www.kdnuggets.com/2014/09/customer-analytics-summit-2014-chicago-day1.html

  • Tensorflow Tutorial: Part 1 – Introduction

    …ave conducted as part of the United Network of Professionals. Time to time I will be referring to some of the slides that I used there as part of the talk to make it clearer. Please don’t miss out on the live webinars where I talk about everything I write. Register yourself with our upcoming…

    https://www.kdnuggets.com/2017/09/tensorflow-tutorial-part-1.html

  • Bill Inmon on Hearing The Voice Of Your Customer

    ...r analysis you can do “red flag” analysis, which is less dependent on the accuracy required for sentiment analysis. Another difference is that people talk differently than they write. When talking, people are much more casual in their language. But when people write, they have to write in a much...

    https://www.kdnuggets.com/2017/12/hearing-voice-your-customer.html

  • Top 10 Videos on Machine Learning in Finance">Silver Blog, Sep 2017Top 10 Videos on Machine Learning in Finance

    ...a strategic asset and it is no surprise that roles such as Chief Data Officer and Chief Analytics Officer have emerged in financial institutions. 2. Talk: ML for Credit Risk Assessment (1.3K views) - 38 minute talk The company Zopa has a Python-based development and modelling pipeline for credit...

    https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html

  • Machine Learning in Real Life: Tales from the Trenches to the Cloud – Part 1

    ...ing to write this post, I realised it was going to go on FOREVER, so I’m breaking it into 2 parts. So looking at the OSD, in Part 1 (this post), I’ll talk about data, training and the model. In Part 2 (my next post), I’ll talk about analysis and taking the model into a production system (the fun...

    https://www.kdnuggets.com/2017/06/machine-learning-real-life-tales-1.html

  • Customer Data Unicorns: Why how we manage their data is the secret to finding, taming and riding them

    ...a   When we decide to talk, can we substantiate what we are saying with data ? In order to convince people to buy our product/service we need to talk to them, but when we talk, we need to show them we have listened to them. We are talking to them through everything we do.   DO USING data...

    https://www.kdnuggets.com/2018/09/customer-data-unicorns-manage-data.html

  • Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 2

    …r Project Ray is available on Github and there will be an alpha release soon. Desiree Matel-Anderson, Chief Wrangler, The Field Innovation Team (FIT) talked about doing good with data in her talk “Data in disasters: Saving lives and innovating in real time”. FIT’s mission is to empower humans to…

    https://www.kdnuggets.com/2017/03/strata-hadoop-san-jose-key-takeaways-day2.html

  • Top 10 TED Talks for the Data Scientists">2016 Silver BlogTop 10 TED Talks for the Data Scientists

    …technology are not so cute — and why she thinks we should return the control of information to its rightful owners. We hope that you will enjoy this talks. Please, do let us know more about your favorite online talk in data science. Bio: Devendra Desale(@DevendraDesale) is a data science graduate…

    https://www.kdnuggets.com/2016/02/top-10-tedtalks-data-scientists.html

  • What I Learned About Machine Learning at ODSC West 2018

    ...ours — meaning, yea, you might miss the talk on that one thing you haven’t had time to investigate yet. But organizers minimized this by scheduling R talks in tandem with the Python talks so you were usually only sacrificing a talk in another language. My point is: It wasn’t just the technical...

    https://www.kdnuggets.com/2018/11/odsc-west-learned-about-machine-learning.html

  • Basics of Audio File Processing in R

    ...h our ears via the ‘auditory’ sense. Thus, sound can also be called as audio. Audio processing a hugely researched domain and lot of very good papers talk about audio processing. As part of this post we will only talk about very basic but helpful information to develop an intuitive understanding....

    https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html

  • Lets talk about Ethics in Analytics / Data Science

    comments By Bhasker Gupta, Analytics India Magazine. Its time that data scientists go through formal ethics training The saying goes like this, "Lies, damned lies, and statistics". There is no doubt that statistics can be tweaked any which way to prove a point. There is a fair bit of subjectivity...

    https://www.kdnuggets.com/2015/10/ethics-data-analytics.html

  • 6 Must See Deep Learning Experts at ODSC West 2019 – 20% Off Ends Friday

    ...ading an interactive workshop on interpreting models and using interpretability techniques, such as feature importance and partial dependence. Shah’s talk: Deciphering the Black Box: Latest Tools and Techniques for Interpretability. Sacha Arnoud is a senior director of engineering at Waymo....

    https://www.kdnuggets.com/2019/10/odsc-must-see-deep-learning-experts-discount-ends-friday.html

  • Gold BlogA Step-by-Step Guide to Transitioning your Career to Data Science – Part 1">Silver BlogGold BlogA Step-by-Step Guide to Transitioning your Career to Data Science – Part 1

    ...to get hooked up with a job. Never ask for one here. You are in the research phase. Right now you're just gathering information. They're also not to talk about yourself, so kindly listen. Your job is to learn here, not to talk about yourself. If you have a half-hour meeting, you should spend...

    https://www.kdnuggets.com/2019/05/guide-transitioning-career-data-science-part-1.html

  • The ultimate guide to starting AI

    ...hen you’re done, you’ll hear an angelic chorus. You’ve created your business performance metric! This is not the same thing as a loss function (we’ll talk about those later). This is not the same thing as a loss function (we’ll talk about those later). When it comes to metrics, the possibilities...

    https://www.kdnuggets.com/2018/11/ultimate-guide-starting-ai.html

  • 10 Trending Data Science Topics at ODSC East 2019

    ...ghts. The reuse of a pre-trained model on a different but related task enables training of deep neural networks with comparatively less data. In this talk, you will learn the details of how transfer learning works and will see demonstrations in both financial and healthcare domains. Anjali and...

    https://www.kdnuggets.com/2019/02/odsc-10-trending-data-science-topics.html

  • Gold BlogData Visualization in Python: Matplotlib vs Seaborn">Silver BlogGold BlogData Visualization in Python: Matplotlib vs Seaborn

    .... This controls the layout of the plot in terms of how it is to be read. Such as if it was on a 'poster' where we will see enlarged images and text. 'Talk' will create a plot with a more bold font. plt.figure(figsize=(7,6)) fontdict={'fontsize': 18, 'weight' : 'bold', 'horizontalalignment':...

    https://www.kdnuggets.com/2019/04/data-visualization-python-matplotlib-seaborn.html

  • Data Science of Sales Calls: 3 Actionable Findings

    …ur company, your odds of closing the deal will be 1/4 of your peers. That means, if the top sales rep on your team has a 24% close-rate, and you’re a talker, your close-rate is likely to be a mere 6%. So yes, you can literally talk your close rate off a cliff. The takeaway? Get your company pitch…

    https://www.kdnuggets.com/2017/01/data-science-sales-calls-actionable-findings.html

  • Exclusive Interview: Todd Holloway, Data Science Lead, Trulia

    ...Over the past three years, Todd has built up a data science team to create new products and discover actionable insights from Trulia's big data. His talk described the decisions made in assembling the team, and what has worked and not worked over these past years. Anmol Rajpurohit: Q1. What are...

    https://www.kdnuggets.com/2014/05/interview-todd-holloway-data-science-lead-trulia.html

  • Chief Data Officer Summit 2014 – Day 2 Highlights

    ...ession that you find interesting, check KDnuggets as we would soon publish exclusive interviews with some of these speakers. Highlights from selected talked on day 1. Here are highlights from selected talks on day 2 (Fri, May 23): Philippe De Smedt, Chief Data Architect, Visa described how...

    https://www.kdnuggets.com/2014/07/chief-data-officer-summit-2014-san-francisco-day2.html

  • Strata 2014 Santa Clara: Highlights of Day 2 (Feb 12)

    .... Fernand’s presentation can be accessed: Here Unlocking the Secrets of Gertrude Stein by Ian Timourian from Paxata Ian Timourian gave an interesting talk in which he used advanced methods of data science and visualization to analyze the poetry of Gertrude Stein. Ian has been exploring the...

    https://www.kdnuggets.com/2014/02/strata-2014-santa-clara-highlights-day2.html

  • Strata 2014: Highlights from Keynote Speeches

    ...s individual life. He also emphasized on visualization of information as a powerful tool. 8. David Epstein from Sports Illustrated gave a captivating talk on applied sport data analysis and also criticized the 10,000 hour rule in sports. 9. Rodney Mullen from Almost Skateboards talked about...

    https://www.kdnuggets.com/2014/02/strata-2014-highlights-keynote-speeches.html

  • Top 10 Machine Learning Videos on YouTube

    ...xtbook. This is another great way to learn the foundations of machine learning. 6. Brains, Sex, and Machine Learning (104,808 views) This Google Tech Talk is also delivered by Geoffrey Hinton. This talk also goes in depth on the topic of neural networks. Where this talk differs is how it discusses...

    https://www.kdnuggets.com/2015/06/top-10-machine-learning-videos-youtube.html

  • KDD-2013 NodeXL Twitter Social Network, updated

    ...r version of KDD-2013 Twitter graph created by Marc Smith on Aug 12 pages.cs.wisc.edu/~swright/wright-kdd-2013.pdf, Slides for Stephen Wright Keynote Talk on Optimization in Learning and Data Analysis bigdata-mining.org/keynotes/#amatriain, Xavier Amatriain, Director of Personalization Science and...

    https://www.kdnuggets.com/2013/08/kdd2013-twitter-social-network-nodexl.html

  • Manufacturing Analytics Summit 2014 Chicago: Day 2 Highlights

    ...y 1 Here are highlights from Day 2 (Thursday, May 22, 2014): Maurice Pinto, Director, Global Operations, World Fuel Services delivered an interesting talk on "Collecting and Applying Logistics Analytics". He started his talk with explaining what does a simple transaction means from different...

    https://www.kdnuggets.com/2014/07/manufacturing-analytics-innovation-summit-2014-chicago-day2.html

  • Big Data Innovation Summit 2014 Santa Clara: Highlights of Selected Talks on Day 2

    ...y talk that you find interesting, check KDnuggets as we would soon publish exclusive interviews with some of these speakers. Highlights from selected talks on day 1 (Wed Apr 9) Here are highlights from selected talks on day 2 (Thu Apr 10): Andrew Ahn, Senior Director, Big Data group at ICE/NYSE...

    https://www.kdnuggets.com/2014/04/big-data-innovation-summit-2014-talks-day2.html

  • Most Viewed Big Data Videos on YouTube

    ...derstand the potential benefits of big data from a high level. 7. Big Data, Small World: Kirk Borne at TEDxGeorgeMasonU (55,543 views) This is a TEDx talk by Kirk Borne on big data. The talk begins with a very approachable explanation of big data, then refines to more concrete examples. This would...

    https://www.kdnuggets.com/2015/05/most-viewed-big-data-videos-youtube.html

  • Business Intelligence Innovation Summit 2014 Chicago: Day 2 Highlights

    ...tant than schedule Emphasis on data governance   Melanie Shanks, Business Intelligence Leader, Commercial Distribution Finance, General Electric talked about GE Capital's BI pursuits in her talk "Customer Facing Analytics". Significant advances in big data, predictive analytics and location...

    https://www.kdnuggets.com/2014/07/business-intelligence-innovation-summit-2014-chicago-day2.html

  • Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2

    …t featured an interview made at NIPS 2014 with three pillars of deep learning community – Geoffrey Hinton, Yoshua Bengio, and Yann LeCun – where they talked about the history and future of deep learning. They first shared stories during the renewal of neural networks (see part 1). When talking…

    https://www.kdnuggets.com/2015/03/talking-machine-deep-learning-gurus-p2.html

  • Big Data & Analytics for Retail Summit 2014 Chicago: Day 2 Highlights

    ...n such as whether to build or buy analytics solutions, and whether to build their data architecture as centralized or decentralized. He concluded his talk with the following quote: "We cannot solve problems by using the same kind of thinking we used when we created them." - Albert Einstein Mark...

    https://www.kdnuggets.com/2014/10/big-data-analytics-retail-summit-chicago-day2.html

  • ASE International Conference on Big Data Science 2014: Day 1 Highlights

    ...ystem U and discussed research directions in this space. Dr. Carl Landwehr, Lead Research Scientist, George Washington University gave an interesting talk titled “A Building Code for Building Code”. He introduced the metaphor of a building code to talk about building better software code. Although...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day1.html

  • ASE International Conference on Big Data Science 2014: Day 2 Highlights

    ...r datacenters. He evaluated the widespread use of clouds over massive datasets generated by e-business, social networks, sensors, RFID, GPS, etc. His talk also revealed major R&D challenges and presented new approaches to preserving data privacy, assuring cloud security, and enhancing cyber...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day2.html

  • Gaming Analytics Summit 2015, San Francisco – Day 2 Highlights

    ...educing the mean quality, but rather one should strive to reduce the variance. Rudi Bonaparte, Manager, Analytics, Riot Games delivered an insightful talk on team-work in his talk titled "Beyond the Math: Structuring Analytics Teams for Success ". Individual brilliance is great, but it’s only one...

    https://www.kdnuggets.com/2015/05/gaming-analytics-summit-san-francisco-highlights-day2.html

  • MetaMind Mastermind Richard Socher: Uncut Interview

    ...in Berlin. The first day had a focus on deep learning, but then on the third night Professor Vladimir Vapnik had the stage. And he gave an hour long talk and then debated the audience for a while. And he took a very critical stance on deep learning. One point that he brought up a number of times...

    https://www.kdnuggets.com/2015/10/metamind-mastermind-richard-socher-deep-learning-interview.html

  • The Data Science Conference 2015 Highlights

    ...on the Hard way by Zed Shaw among others. Brandon Rohrer’s title captioned “The other stuff” took the audience to an advanced thought process when he talked about feature engineering concepts in data science and introduced methods in handling missing values. Nick Kadochnikov presented an insightful...

    https://www.kdnuggets.com/2015/11/data-science-conference-highlights.html

  • Rich Data Summit Takeaways

    ...con Valley CEOs, data scientists, and university professors. Generally, the event had the flavor of a TED event but focused squarely on data science. Talks were high-level and technical details scarce. But many of the best talks were still concrete, making convincing demonstrations. These included...

    https://www.kdnuggets.com/2015/10/rich-data-summit-takeaways-lukas-biewald-nate-silver.html

  • Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist

    ...Scientist, invited me to come to his talk at Harvard. Unfortunately, I could not attend at the time, but I saw his excellent slides and video of the talk, and we started a conversation. As a regular reader of the NYTimes since my NYU grad school days, I loved the chance to learn more about the...

    https://www.kdnuggets.com/2015/01/exclusive-interview-chris-wiggins-nytimes-chief-data-scientist.html

  • The Star Wars social networks – who is the central character?

    …the characters.csv file. Interactions between characters To construct the social networks, I wanted to extract all the occasions when two characters talk to each other. This happens if two characters speak within the same scene (I decided to ignore situations when people talk with each other over…

    https://www.kdnuggets.com/2015/12/star-wars-social-network-who-is-central-character.html

  • Strata + Hadoop World 2015 San Jose – report and highlights

    ...ion and has applications in immersive gaming. Jeffrey Heer, professor at University of Washington and the co-founder of Trifacta, gave an interesting talk on visualizing different variations of data instead of focusing on a particular design decisions. He gave an interesting example from a medical...

    https://www.kdnuggets.com/2015/02/strata-hadoop-world-san-jose-report.html

  • Big Data Developer Conference, Santa Clara: Day 2 Highlights

    ...form, Boain concluded by saying that they eventually want to switch to a model that uses MongoDB over Hadoop. Sanjit Dang, Investment Director, Intel talked about Big Data trends and startups. Here are some key trends he shared during his talk: Industry specific vertical solution will be built...

    https://www.kdnuggets.com/2015/04/big-data-developer-conference-highlights-day2.html

  • Best Big Data, Data Science, Data Mining, and Machine Learning podcasts

    ...ed fourth, and "Obsessive Compulsive Data Quality", which was a highly popular podcast in 2014 but is not updated since, was placed last. This post used some content from 7 best data science and machine learning podcasts Related: Talking Machine – Deep Learning in Speech Recognition Talking Machine...

    https://www.kdnuggets.com/2015/06/best-big-data-data-science-data-mining-machine-learning-podcasts.html

  • Key Takeaways from the Strata San Jose 2018

    ...Lab at UCLA and has lead multiple studies covering a large-scale study of professional data scientists and shares her findings via two parts in this talk. Her webpage is full of very interesting links and two relevant ones here are: her Google Scholar page, the slide deck for a talk similar to...

    https://www.kdnuggets.com/2018/07/key-takeaways-strata-san-jose.html

  • Jupyter Pop-up coming to Boston on March 21

    ...ep learning and deep integration via Jupyter,” to show how these tools are designed to help make science open, accessible, and reproducible. Industry talks will come from Microsoft, IBM, Bloomberg, and other enterprise organizations. For example, Scott Sanderson’s talk “Hosting notebooks for...

    https://www.kdnuggets.com/2018/02/jupyter-popup-boston-march.html

  • Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems

    ...t are the current challenges of top-down testing approaches? How does Lineage-Driven Fault Injection (LDFI) help improve the testing? PA: In my RICON talk, I contrasted “bottom-up verification” approaches (e.g., using a model checker to verify individual components such as protocols) with “top-down...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-distributed-systems.html

  • How to Build a Data Science Portfolio">Silver BlogHow to Build a Data Science Portfolio

    ...teresting dataset and what do you do with it. Jason Goodman, Data Scientist at Airbnb, has a post Advice on Building Data Portfolio Projects where he talks about many different project ideas and has good advice on what kind of datasets you should use. He also echos one of William’s points about...

    https://www.kdnuggets.com/2018/07/build-data-science-portfolio.html

  • NIPS 2017 Key Points & Summary Notes

    ...at the NIPS Hierarchical RL Workshop. A few of the highlights from David's notes follow (emphasis added), along with a couple of videos of referenced talks.   Ali Rahimi’s test of time talk. This had lots of conversation buzzing throughout the conference. In the second half, he presented some...

    https://www.kdnuggets.com/2017/12/nips-2017-key-points-summary-notes.html

  • Getting Started with Machine Learning in One Hour!

    ...them started with Machine Learning. That’s how this guide ended up being called Getting Started with Machine Learning in one hour. The notes for the talk were great for an introductory learning path, but were structured only for myself to help with the talk. Hence I wrote a machine learning...

    https://www.kdnuggets.com/2017/11/getting-started-machine-learning-one-hour.html

  • A Non-comprehensive List of Awesome Things Other People Did in 2016

    ...the debunkers? at fivethirtyeight just keeps getting more relevant. I rarely am willing to watch a talk posted on the internet, but Amelia McNamara’s talk on seeing nothing was an exception. Plus she talks so fast #jealous. Sherri Rose’s post on economic diversity in the academy focuses on...

    https://www.kdnuggets.com/2017/01/leek-list-awesome-things-people-2016.html

  • Meet Lucy: Creating a Chatbot Prototype

    ...d to our Google Account on “Actions for Google”. The frontend of our bot was Google Assistant App and we could invoke our Bot by uttering “Ok Google, Talk to Lucy” on our Google Assistant. b. Production Grade Deployment: When designing a production grade deployment bot, we would need Node.js SDKs...

    https://www.kdnuggets.com/2017/09/meet-lucy-chatbot-prototype.html

  • Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1: Computer Vision

    ...ral Networks - This could be considered a subset of the above point, but CNNs are given separate, top-level treatment at the event (plus, not all CNN talks have vision- or image-related applications). Neural Networks Models, Architecture & Frameworks - A block of disparate but loosely related...

    https://www.kdnuggets.com/2017/10/key-takeaways-rework-deep-learning-summit-montreal.html

  • 7 Steps to Mastering Apache Spark 2.0">Silver Blog7 Steps to Mastering Apache Spark 2.0

    ...ively simple, all the complexity is hidden from a developer and handled by the underlying model and execution engine, which is explained in the video talk. After you take a deep dive into Structured Streaming in the video talk, also read the Structure Streaming Programming Model, which elaborates...

    https://www.kdnuggets.com/2016/09/7-steps-mastering-apache-spark.html

  • Predictive Analytics Innovation Summit 2014 London: Day 2 Highlights

    ...me case studies which involved novel predictive modeling solutions built using C#, R and RExcel. Peter Tillotson, Research Data Scientist, Riot Games talked about the problem of duplicates and his approach for solving it, in his talk "Data Finds Data – The Rest is Math". The success of Riot Games...

    https://www.kdnuggets.com/2014/07/predictive-analytics-innovation-summit-2014-day2.html

  • Business Analytics Innovation Summit 2014 Chicago: Day 1 Highlights

    ...the key takeaways. Here are highlights from Day 1 (Wednesday, May 21, 2014): Andy Curtis, Senior Vice President, Business Analytics , Northern Trust talked about the increasing trend of client experience projects, in his talk titled "Leveraging Analytics to Drive Client Satisfaction". Many...

    https://www.kdnuggets.com/2014/07/business-analytics-innovation-summit-2014-chicago-day1.html

  • Manufacturing Analytics Summit 2014 Chicago: Day 1 Highlights

    ...1 (Wednesday, May 21, 2014): Grace Woo, Director of Procurement, McCormick spoke on one of the most common challenge visionary employees face, in her talk "Supply Chain Analytics: How To Get The Buy-in That You Need To Get Started". A lot of data science practioners have a vision of how analytics...

    https://www.kdnuggets.com/2014/07/manufacturing-analytics-innovation-summit-2014-chicago-day1.html

  • Future of Consumer Intelligence 2014: Day 1 Highlights

    ...hey patronize to not just reflect their values and to care about the things that really matter—family, community, people, the planet— but to walk the talk. Dr. Bill MacElroy, Chairman, Socratic Technologies talked about “Progress in the Adoption of Innovations for Consumer Intelligence”. He shared...

    https://www.kdnuggets.com/2014/07/future-consumer-intelligence-2014-highlights-day1.html

  • Big Data for Executives 2014: Day 2 Highlights

    ...cture Design   It is important to assess and identify capability gaps through Architecture Gap Analysis and Comprehensive Gap Analysis. Finally, talking about building a business case, he mentioned that Advanced Analytics provides answers that cannot be provided by traditional business...

    https://www.kdnuggets.com/2014/05/big-data-executives-highlights-day-2.html

  • Big Data for Executives 2014: Day 1 Highlights

    ...uch as querying any data with SQL, Metadata Integration, Intelligent Query Optimization, etc. Charlie Greenbacker, Director of Data Science, Altamira talked about how to go for Big Data without the Big Bucks. Talking about Open Source Software (OSS) he mentioned that there is no one best universal...

    https://www.kdnuggets.com/2014/05/big-data-executives-highlights-day-1.html

  • KDnuggets™ News 14:n23, Sep 3

    ...iew with me on KDnuggets, Data Mining, and Data Science - Aug 20, 2014. I have recently given an interview to DataReview, an Ukrainian site, where we talked about KDnuggets origins, history of Data Mining, interesting problems I worked on, and typical problems faced by young data scientists. Top...

    https://www.kdnuggets.com/2014/n23.html

  • Big Data BootCamp: Highlights of talks on Day 3

    ...h exclusive interviews with some of these speakers. In case you missed: Highlights of talks on Days 1-2 (Apr 23-24) Here are highlights from selected talks on day 3 (Fri Apr 25): Bikas Saha from Hortonworks gave a talk on Apache Tez. He introduced Tez as a distributed execution framework built on...

    https://www.kdnuggets.com/2014/05/big-data-bootcamp-santa-clara-talks-day-3.html

  • Social Media & Web Analytics Innovation Summit 2014: Day 1 Highlights

    ...ave three focus areas: acquisition, engagement, and outcomes. Krish Swamy, Director, Digital Analytics and Personalization at Capital One delivered a talk titled “Online Analytics: From Vanity to Actionability”. He commenced the talk stating the purpose of analytics as enabling smart decision,...

    https://www.kdnuggets.com/2014/05/social-media-web-analytics-summit-san-francisco-talks-day-1.html

  • Big Data & Analytics in Healthcare Summit 2014 Philadelphia: Day 1 Highlights

    ...and evidence based order set usage against LOS (Length Of Stay) and cost of care. Jyoti Pathak, Associate Professor, Medical Informatics, Mayo Clinic talked about relevance of Big Data to clinical research in his talk titled "The Era of Big Data Informatics for Clinical and Translational Research"....

    https://www.kdnuggets.com/2014/07/big-data-analytics-healthcare-summit-2014-day1.html

  • Big Data & Analytics in Healthcare Summit 2014 Philadelphia: Day 2 Highlights

    ...ey takeaways. Highlights from Day 1. Here are highlights from Day 2 (Friday, May 16, 2014): Michael Sturmer, Sr. Director, Clinical Operations, Cigna talked about how data can empower health care consumers in his talk titled "Engagement Strategies, Segmentation, Micro-Targeting and Understanding...

    https://www.kdnuggets.com/2014/07/big-data-analytics-healthcare-summit-2014-day2.html

  • Customer Analytics Summit 2014 Chicago: Day 2 Highlights

    ...Systems, Market Basket Analysis. He illustrated with examples that how these algorithms can be help enhance sales of retail stores. He concluded the talk discussing various layers of Big Data stack.   Peter Tanner, Modelling Analyst, Obama for America delivered a talk on “Using Analytics to...

    https://www.kdnuggets.com/2014/09/customer-analytics-summit-2014-chicago-day2.html

  • Sports Analytics Innovation Summit 2014 San Francisco: Day 1 Highlights

    ...ng yards, what were the intentions of the play call? Mounir Zok, Senior Sports Technologist, United States Olympic Committee gave a thought-provoking talk on "Using Data Correctly - How Do You Tell the Team?". 5 years ago, we were focusing on data collection tools and methodology. Today, this...

    https://www.kdnuggets.com/2014/10/sports-analytics-summit-2014-san-francisco-day1.html

  • Big Data & Analytics Innovation Summit, Australia: Day 2 Highlights

    ...as well as new opportunities; and an appropriate strategy will enable monetization. Con Menictas, Senior Statistician, Qantas delivered an insightful talk on "Text Mining Offers the Best of Both Worlds". Text Mining (TM) is being talked about more and more in the marketing research space, but how...

    https://www.kdnuggets.com/2014/10/big-data-analytics-summit-australia-day2.html

  • KDD-2014 – The Biggest, Best, and Booming Data Science Meeting

    ...tion awards. See also my interview with Pedro Domingos, Winner of KDD 2014 Data Mining/Data Science Innovation Award. Pedro Domingos Innovation Award Talk on Sunday, Aug 24, was on Scalable Data Science and Very Large Scale models. He made an analogy that Very Large Scale models are like VLSI - we...

    https://www.kdnuggets.com/2014/08/kdd-2014-biggest-best-booming-data-science-meeting.html

  • Big Data Innovation Summit 2014 Toronto: Day 2 Highlights

    ...e relationships   David (Dave) Perfetti , Chief Information Officer, Royal College of Physicians and Surgeons of Canada gave a thought-provoking talk on "Big Data Gone Bad, or Bad Data Gone BIG?". Over the course of his talk, Dave explored various aspects of Big Data. Challenging the paradigm...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day2.html

  • Interview: Vita Markman, LinkedIn on Practical Solutions for Sentiment Mining Challenges

    ...are a few examples? Vita Markman: To answer this question let me first offer a working definition of “linguistic features” that I used throughout the talk. I use the term “linguistic features” to refer to “features beyond the word-level”; in other words, phrase-level features. For example, a...

    https://www.kdnuggets.com/2014/08/interview-vita-markman-linkedin-sentiment-mining.html

  • Big Data Innovation Summit 2014 Toronto: Day 1 Highlights

    ...iveness of public health messages. Alan Khara, Director, Information and Communication Technology, First Nations Education Steering Committee (FNESC) talked about the prevalent misconceptions around Big Data in his talk "Five Great Myths About Big Data". Big Data may eventually lead to the...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day1.html

  • The Analytics of Digital Transformation, according to TCS

    ...ed by the underlying gadgets through which content is generated just adds to the complexity. Q4: A number of industry analysts and solution providers talk about omni-channel analytics and unified customer experience. Do you have any thoughts to share on working across the variety of interaction...

    https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

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