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Data Science Weekly Newsletter
June 11, 2015

Editor's Picks

A Message From This's Week Sponsor

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Data Science Articles & Videos

  • New Website can Identify Birds using Photos
    In a breakthrough for computer vision and for bird watching, researchers and bird enthusiasts have enabled computers to achieve a task that stumps most humans—identifying hundreds of bird species pictured in photos...
  • Predicting Gender from Music Tastes
    Continuing on my mission to get better at Python I’ve been learning about the Pandas and sklearn libraries. I was looking for a challenge to use these libraries on and I had recently come across a nice lastFM data extract...
  • How Much Did It Rain? Winner's Interview: 2nd place, No Rain No Gain
    Kagglers Sudalai and Marios came together to form team "No Rain No Gain!" and take second place in the How Much Did it Rain? competition. Sudalai had two goals in competing: to earn a Master's badge and to finish in the top 100. In the blog below, Sudalai shares how he managed to accomplish both (and get a new friend) by being part of a great team...
  • Developing for Development: Machine Learning for the Greater Good
    When we contemplate machine learning, we might think of our phone companions Siri or Cortana, hot fitness items on the market now that adjust to our routines and abilities, or about big business and data science. Seldom does our picture of “cutting-edge” involve places that are not industrialized. But the “developing” world is a rich forum for machine learning and artificial intelligence...
  • Visualizing and Understanding Recurrent Networks
    Recurrent Neural Networks (RNNs), and specifically a variant with Long Short-Term Memory (LSTM), are enjoying renewed interest as a result of successful applications in a wide range of machine learning problems that involve sequential data...


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Training & Resources


  • Signal: Understanding What Matters in a World of Noise New release!...
    "In Signal, I provide straightforward and practical instruction in everyday signal detection. Using data visualization methods, I teach how you can apply statistics to gain a comprehensive understanding of your data, which will serve as the context for signal detection. I then adapt the techniques of Statistical Process Control in new ways to detect not just changes in the measures but also significant changes in the patterns that characterize your data..."... For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...

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