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Data Science Weekly Newsletter
July 3, 2014

Editor's Picks

  • Visualizing Algorithms
    Algorithms are a fascinating use case for visualization. To visualize an algorithm, we don’t merely fit data to a chart; there is no primary dataset. Instead there are logical rules that describe behavior. This may be why algorithm visualizations are so unusual, as designers experiment with novel forms to better communicate. This is reason enough to study them...

Data Science Articles & Videos

  • Sibyl: A System for Large Scale Machine Learning at Google
    Last week, at the IEEE/IFIP International Conference on Dependable Systems and Networks, Google Software Engineer Tushar Chandra gave a keynote address outlining the systems aspects of Sibyl, a supervised machine learning system that is used for solving a variety of prediction challenges, such as YouTube video recommendations...
  • New Beginnings in Facial Recognition
    Developments in neural networks and deep learning are bringing great improvements in facial recognition, which could have exciting (and scary) applications on platforms like Google Glass...
  • The Hidden Markov, The Goal-Keeper and The World Cup
    It’s really hard to believe that Spain, being the previous World Cup Champion, cannot pass the Group Stage. I feel sorry for Casillas [Goal-Keeper], but Spain losing 1:5 to Netherlands was really an unexpected one. So, we suggest using a Hidden Markov Model to discuss the performance of Casillas in the match...
  • Big data's dirty problem
    Inaccuracies, misspellings, and obsolete information makes achieving the big data utopia a slog for businesses and researchers...


  • Data Scientist - TrueCar Inc - Santa Barbara, CA
    We’re looking for a Data Scientist who will be responsible for exploratory data analysis, data mining and building predictive algorithms of various automotive industry data sets. This person will analyze current modeling methodologies with a focus on possible improvements to prediction accuracy. As an Analyst in ALG’s Analytics Team, this role will also spend a significant amount of time exploring large datasets and building new predictive algorithms for a variety of automotive valuation projects....

Training & Resources

  • Markov Chains Explained
    Markov Chains is a probabilistic process, that relies on the current state to predict the next state...
  • Pandas CookBook
    This is a repository for short and sweet examples and links for useful pandas recipes. We encourage users to add to this documentation. This is a great First Pull Request (to add interesting links and/or put short code inline for existing links)...


  • Building probabilistic graphical models with Python
    Just released...
    "If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you. This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field."...

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