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  • Unicorn Data Scientists vs Data Science Teams - Dec 30, 2013.
    A recent post has generated an intense discussion about finding "unicorn" data scientists with a combination of all the needed skills, or whether that skillset is best filled by a team. Here are the highlights, including a proposal how to train well-rounded data scientists.
  • Top stories for Dec 22-29: Data Mining Applications with R; “Data Scientist” catches up with “Statistician” - Dec 29, 2013.
    Data Mining Applications with R; "Data Scientist" catches up with "Statistician", surpasses "Data Miner"; What is Wrong with the Definition of Data Science.
  • Top Datasets on Reddit - Dec 28, 2013.
    Most popular dataset posts on Reddit include NFL Game Metadata, Reddit top 2.5 Million posts, Zillow housing prices, and, of course, a database of cat pictures.
  • What is Wrong with the Definition of Data Science - Dec 24, 2013.
    A veteran statistician argues that 3 different areas usually included in "Data Science" require dramatically different, skills, education, and training with very little overlap.
  • FICO Lessons in Developing, Applying Decision Modelling Methods - Dec 21, 2013.
    Analytically sophisticated businesses combine predictive analytics and decision models with optimization to solve complex problems and achieve good results. Top FICO expert explains.
  • Statistical Golden Rule - Dec 21, 2013.
    Bruce Ratner examines how to combine skills acquired by experience (art) and a technique that reflects a precise application of fact or principle (science).
  • New Book: A Programmer Guide to Data Mining – Free Download - Dec 21, 2013.
    New book "A Programmer Guide to Data Mining" - a guide to practical data mining, collective intelligence, and building recommendation systems by Ron Zacharski. Free download of all chapters.
  • Top KDnuggets Analytics, Big Data, Data Mining, Data Science Stories in 2013 - Dec 21, 2013.
    Salary of Analytics/Data Science professionals; Top Languages for analytics, data mining, data science; 7 Steps for Learning Data Mining and Data Science; Book: Twitter Data Analytics - free download
  • Top 10 Big Ideas in Harvard Statistics 110 Class - Dec 21, 2013.
    The Big Ideas in Statistics include: Conditioning (the soul of statistics), Random variables and random vectors, Stories, Symmetry, Linearity of expectation, LOTUS, Variance, covariance, and correlation.
  • Open Source Data Science Masters Curriculum - Dec 21, 2013.
    A good collection of open source resources for Data Science Masters Curriculum, covering Math, Algorithms, Databases, Data Mining, Machine Learning, Natural Language Processing, Data Analysis and Visualization, and Python.

    MS in Data Science, Open Source

  • 3 Stages of Big Data - Dec 21, 2013.
    The confusion around Big Data is partly the result of different aspects of Big Data which have very different meaning and produce very different results. We propose a 3 stage classification.
  • Lecture: Social Network Analysis for Fraud Detection - Dec 12, 2013.
    As traditional techniques often fail to identify fraudulent behavior, social network analytics offers new insights in the propagation of fraud through a network - watch this short overview.
  • Top 10 trends in text analytics - Dec 12, 2013.
    Data Driven Business recently interviewed forward thinking text analytics professionals from leading companies like Bank of America, Home Depot and PayPal, on challenges they are face, overcoming them, and the industry as a whole.
  • Booz Allen “Field Guide to Data Science” – free download - Dec 11, 2013.
    The guide includes an introductory section, the practitioners guide to Data Science, a first hand account of life as a Data Scientist, tips and tricks, and an overview of successful data science solutions. Free Download.


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