KDnuggets™ News 15:n03, Jan 28: Deep Learning Basics and “Flaws”; MetaMind; KDnuggets Pass to Strata

On the Basics of Deep Learning to Get You Started; Deep Learning can be easily fooled; (Deep Learning's Deep Flaws)'s Deep Flaws; MetaMind vs IBM Watson Analytics and Microsoft Azure Machine Learning; Top SlideShare Presentations on Big Data, and much more.

Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP | Quote

 Software  (see also All Software )

 Opinions  (see also All Opinions for this month )
  • Shining Light on Dark Data - Jan 23, 2015.
    Dark Data is the ever-present, relatively unknown, and unmanaged volumes of data that exist in every corner of one's business. Here's what to do with it.
  • The High Cost of Maintaining Machine Learning Systems - Jan 21, 2015.
    Google researchers warn of the massive ongoing costs for maintaining machine learning systems. We examine how to minimize the technical debt.
  • Can noise help separate causation from correlation? - Jan 21, 2015.
    How to tell correlation from causation is one of the key problems in data science and Big Data. New Additive Noise Models methods can do it with over 65% accuracy, opening new breakthrough possibilities.
  • 8 Trends In Big Data For 2015 - Jan 21, 2015.
    2015 trends include Non-Data Scientists, Real Time Big Data, Self Service Big Data, Shared Big Data, Big Data and IoT, Richer Data, More Big Data Geeks, and Creative Recruitment - read why.
  • Simple Data Science of Global Warming - Jan 19, 2015.
    You don't have to be a climatologist to empirically confirm global warming. It is enough to have a computer, a reliable data set of historical temperatures, and software like R to do simple calculations.
  • IE Masters in Analytics and Big Data - first hand report - Jan 18, 2015.
    First hand report on Master in business analytics and big data program at IE (Madrid, Spain) - why, what, how, days, and challenges.
  • How to interview a data scientist - Jan 16, 2015.
    Having spent the last year interviewing a large number of Data Scientists, I've developed a simple set of questions that help me to understand the what, the why and the how of what they do.

 Interviews  (see also All Interviews for this month )

 News  (see also All News )

 Webcasts and Webinars  (see also All Webcasts and Webinars )

 Courses  (see also All Courses )

 Meetings  (see also All Meetings )

 Jobs  (see also All Jobs )
  • Flipkart: Data Science interns, Data Scientists - Jan 26, 2015.
    Flipkart is most well-funded Indian Internet company, looking at many challenging problems with huge business impact, including personalisation, recommendation, pricing, and more.
  • Quantcast: 2015 Summer Intern Engineering - Jan 24, 2015.
    Quantcast is seeking smart, curious, technically savvy candidates to join our 2015 summer internship - we hire the best and brightest and give them the opportunity to grow professionally and work on industry-leading technology.
  • Barclays: Chief Data Officer, Africa - Jan 23, 2015.
    Lead the Data transformation of Barclays in Africa region, to provide a world-class Data Infrastructure and Applications enabling customer/client experience.
  • John Hancock: AVP, Advanced Analytics - Jan 22, 2015.
    Bring innovation, critical thinking, industry and functional expertise leveraged through advanced analytics and predictive modeling to drive key areas including Strategy, Marketing, Distribution, Underwriting, and Claims.
  • Disney: Decision Science Project/Technical Manager - Jan 20, 2015.
    The Decision Science team provides internal consulting services and analytical products for various business units across the Walt Disney Company.
  • Metis (a division of Kaplan): Data Science Lead - Jan 20, 2015.
    An experienced data scientist to head the teaching of our data science bootcamps and to champion our growth in the field of data science education and training.
  • Elliot Health System: (Senior) Data Analyst - Jan 17, 2015.
    Support clinical analytics, including quality, service, cost, and satisfaction-related measure development, process improvement methods, internal and external program reporting requirements, project planning, and program evaluation.
  • Disney: Sr Planning Analyst - Measurement - Jan 14, 2015.
    The Sr. Planning Analyst analyzes and identifies business drivers using statistical/financial models, market research and external/economic data.

 Academic and Research positions  (see also All Academic positions )

  • CFP: ACM Transactions on Knowledge Discovery from Data - Jan 14, 2015.
    Transactions on Knowledge Discovery from Data (TKDD) welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Subjects include scalable and effective algorithms for data mining and big data analysis, mining brain networks, mining data streams and more.

 Top Tweets  (see also All top tweets for this month )
  • Top KDnuggets tweets, Jan 19-25 - Jan 26, 2015.
    Very useful: Intro to #Python and #IPython for #DataMining;
    Chart Type #CheatSheet: The Guide to Chart Design;
    Optimizing optimization algorithms;
    How to Choose between learning #Python or R? You can't go wrong.
  • Top KDnuggets tweets, Jan 21-22 - Jan 23, 2015.
    Palantir #datamining used by NYC to crack down on AirBnB hosts;
    #BigData 2015 Top Brands: @IBMBigData @BigDataExpo @CIOonline @WorldBank @Cloud;
    #Google #Dataflow pipeline tool can now run on #Spark;
    Cepheus #AI program can beat almost any human in #poker, even bluffs.
  • Top KDnuggets tweets, Jan 19-20 - Jan 21, 2015.
    15 #programming languages you need to know in 2015;
    #Facebook open sources its cutting-edge #DeepLearning tools;
    Simple Pictures that State-of-the-Art #AI Can't Recognize (yet);
    R Programming fun: writing a Twitter bot.
  • Top KDnuggets tweets, Jan 12-18 - Jan 19, 2015.
    Dilbert looks at #analytics of #dating and A/B testing;
    A Deep Dive into Recurrent Neural Nets #DeepLearning;
    Great read: #Visualizing Representations: #DeepLearning and Human Beings;
    9 Lessons: Picking the Right #NoSQL Tools.
  • Top KDnuggets tweets, Jan 14-15 - Jan 16, 2015.
    A Deep Dive into Recurrent Neural Nets #DeepLearning;
    SOASTA announces #DataScience Workbench for insights from user experience;
    What's Wrong with this Picture? The Art of Honest Visualizations;
    Deep Learning can be easily fooled.
  • Top KDnuggets tweets, Jan 12-13 - Jan 14, 2015.
    Dilbert looks at #analytics of #dating and A/B testing;
    9 Lessons: Picking the Right #NoSQL Tools;
    How Google Will Know If You're Lying - with semantic search and #BigData;
    10 Big Data Experts to Know.

 CFP - Calls for Papers  (see also All Calls for Papers )



My conjecture is that *good* unsupervised learning should generally be much more robust to adversarial distortions because it tries to discriminate the data manifold from its surroundings, in ALL directions, Yoshua Bengio, comment on (Deep Learning Deep Flaws) Deep Flaws