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Data Science Weekly Newsletter
November 10, 2016

Editor's Picks

  • Delivering real-time AI in the palm of your hand
    As video becomes an even more popular way for people to communicate, we want to give everyone state-of-the art creative tools to help you express yourself. We recently began testing a new creative-effect camera in the Facebook app that helps people turn videos into works of art in the moment...

A Message From This Week's Sponsor

Data Science Articles & Videos

  • Colors of the Rails: Every color of every line of every metro system
    When a map is created for a metro, subway, or raid transit system, colors are assigned to each line for identification. After creating the Global Subway Spectrum a few years ago which catalogs all these colors, I wanted to revisit the idea and create something new with updated data that transit fans like myself would enjoy hanging on their wall...
  • Kaggle competition Painter by Numbers
    This repository contains a 1st place solution for the Kaggle competition Painter by Numbers. Below is a brief description of the dataset and approaches I've used to build and validate a predictive model...
  • A Day in the Life of a Data Engineer
    I’m hoping to share a glimpse of what it means to me to be a data engineer at Yelp, with responsibilities over data streams covering vastly different applications in a day-in-the-life blog post...
  • Adversarial Neural Cryptography in Theano
    Last week I read Abadi and Andersen’s recent paper [1], Learning to Protect Communications with Adversarial Neural Cryptography. I thought the idea seemed pretty cool and that it wouldn’t be too tricky to implement, and would also serve as an ideal project to learn a bit more Theano. This post describes the paper, my implementation, and the results...
  • Image-Color
    A deep learning approach to colorizing images. The current model was trained on screenshots taken from Pokemon Silver, and tested on Pokemon Blue Version...


  • Data Visualization Developer - American Progress - Washington, D.C.
    American Progress is looking for a creative and innovative Data Visualization Developer who understands and appreciates both the art and science of translating numbers into graphics and interactives that are easy to understand and use. The Data Visualization Developer will create dynamic and static media to visualize demographic data, numbers, trends, ideas, and comparative data in order to create compelling stories and help American Progress communicate progressive ideas and arguments...

Training & Resources

  • An Introduction to Deep Learning
    To understand what deep learning is, we first need to understand the relationship deep learning has with machine learning, neural networks, and artificial intelligence...


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