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Data Science Weekly Newsletter
Issue
248
August 23, 2018

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Editor's Picks

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  • Models Will Run the World
    The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention...

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A Message From This Week's Sponsor

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  • Mode Studio: SQL, Python, R, & charts in one platform
    No more jumping between applications. Mode Studio is the analytics toolkit that brings everything together, and gets out of the way. Explore data in our SQL editor, and pass results to integrated Python or R notebooks for deeper exploration and visualization. You can also layer charts over results quickly with built-in visualization tools, and sharing is easy—just send the report URL to teammates when you're ready...

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Data Science Articles & Videos

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  • What Did Ada Lovelace's Program Actually Do?
    So let’s take a closer look at Lovelace’s program. She designed it to calculate the Bernoulli numbers. To understand what those are, we have to go back a couple millennia to the genesis of one of mathematics’ oldest problems...
  • Exploring Adversarial Reprogramming
    Google brain recently published a paper titled Adversarial Reprogramming of Neural Networks which caught my attention. It introduced a new kind of adversarial example for neural networks, those which could actually perform a useful task for the adversary as opposed to just fooling the attacked network. I’m going to walk through the paper in this post, and also add some of my own small modifications to the work they presented in the paper...
  • Real Talk About Synonyms and Search
    When I talk to software engineers and product managers about improving their search engines, the conversation often leads to query expansion, and specifically synonyms. A lot of folks who work on search believe that their biggest problem is not having enough synonyms in their dictionary. Synonyms are useful, but they aren’t a cure-all for search problems...

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Jobs

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  • Data Scientist - Riot Games - Los Angeles
    Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience.
    As Data Scientist, you'll develop advanced machine learning algorithms and statistical models to solve critical problems and help deliver awesome player experiences. You'll partner with product teams to implement data science models into live production systems. You'll bring fresh perspective to inform decision-making toward better player experience by translating player voice into insights using your top-notch modeling and analytic skills...

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Training & Resources

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  • From GAN to WGAN
    This post explains the maths behind a generative adversarial network (GAN) model and why it is hard to be trained. Wasserstein GAN is intended to improve GANs’ training by adopting a smooth metric for measuring the distance between two probability distributions...

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Books

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