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Data Science Weekly Newsletter
March 21, 2019

Editor's Picks

  • What Could Possibly Go Right? The Utopian Vision of AI
    "What could possibly go wrong?" has driven much AI discourse in recent years. However, we must not view our efforts to navigate to the best possible future only through a defensive lens. As AI evolves, I will ask myself "What could possibly go right?"...
  • Coconet: the ML model behind today’s Bach Doodle
    Have you seen today’s Doodle? Join us to celebrate J.S. Bach’s 334th birthday with the first AI-powered Google Doodle. You can create your own melody, and the machine learning model will harmonize it in Bach’s style...

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Data Science Articles & Videos

  • What happens when AI designs a Little Black Dress?
    The Little Black Dress (LBD) is an essential item for any women's wardrobe. Often described as an elegant and versatile black dress, LBD is suitable for all occasions. We present you LBD-AI, an artifical intelligence algorithm's take on designing a little black dress. How did we do it?...
  • Nuanced Analysis of LocalBitcoins Data Suggests Bitcoin is Working as Satoshi Intended
    While Bitcoin today showcases a vast body of anecdotal evidence which argues its utility or potential future utility, due to the pseudonymous nature of the blockchain as well as other factors, it is still hard to come across aggregate data which shows this behavior occurring on a consistent and measurable scale. To attempt to address this problem, I took a close look at trading volumes on the Peer-to-Peer Bitcoin trading website (LBC)...
  • The Data Driven Partier: Movie Mustache
    The concept behind ‘Movie Mustache’ is simple, but revolutionary. Watch a movie with friends but with a mustache or two on the TV — whenever the mustache lines up with a character’s upper lip, everyone drinks. This game was foreign to me until a few weeks ago when I got to experience it watching the Adam Sandler classic, The Waterboy. As amazing as it was to watch every single character wear the handlebar mustaches that were taped to the TV, that paled in comparison to the problem statement that followed: How can we place the mustaches to maximize our drinking as a group?...
  • Exact Gaussian Processes on a Million Data Points
    In this paper, we develop a scalable approach for exact GPs that leverages multi-GPU parallelization and methods like linear conjugate gradients, accessing the kernel matrix only through matrix multiplication. By partitioning and distributing kernel matrix multiplies, we demonstrate that an exact GP can be trained on over a million points in 3 days using 8 GPUs and can compute predictive means and variances in under a second using 1 GPU at test time...
  • A/B Testing
    The need for immediacy in conjunction with instantaneous access to data makes it extremely attractive for anyone administering an A/B test to want to minimize costs by peeking at A/B test results at various intervals as data arrives, and then make a decision to keep the test running or to stop it based on current p-values. This post explores the dangers of such behavior...

Special Notice: Manning Book & Video Discount

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  • Data Scientist - Amazon - New York Area

    Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecast team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods...
        Want to post a job here? Email us for details >>

Training & Resources

  • Guide to Coding a Custom Convolutional Neural Network in TensorFlow Core
    The following demonstrates how to use the low-level TensorFlow Core to create Convolutional Neural Network (ConvNet) models without high-level APIs such as Keras. The goal of this tutorial is to provide a better understanding of the background processes in a deep neural network and to demonstrate concepts on how use TensorFlow to create custom code...


  • The Book of R: A First Course in Programming and Statistics
    "The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis"...

    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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