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Data Science Weekly Newsletter
May 10, 2018

Editor's Picks

  • Why ML interfaces will be more like pets than machines
    When I look ahead is how the new capabilities build on each other as they’re combined together. I believe that they will totally change the way we interact with technology, moving from the push-button model we’ve had since the industrial revolution to something that’s more like a collaboration with our tools. It’s not a perfect analogy, but the most useful parallel I can think of is how our relationship with pets differs from our interactions with machines...

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Data Science Articles & Videos

  • Google’s ML Kit makes it easy to add AI smarts to iOS and Android apps
    At its I/O developer conference, Google today introduced ML Kit, a new software development kit (SDK) for app developers on iOS and Android that allows them to integrate into their apps a number of pre-built Google-provided machine learning models. One nifty twist here is that these models — which support text recognition, face detection, barcode scanning, image labeling and landmark recognition — are available both online and offline, depending on network availability and the developer’s preference...
  • Convolutional Neural Networks: The Biologically-Inspired Model
    It is incredible how human brains can unfold an image consisting of just arrays of R,G,B values. How about computers? How can we begin to write an algorithm that can reason about a scene? How can we get the right data that can support the inferences we make?...
  • Investing in the Data Platform
    Data warehouses are not just for business intelligence (BI) anymore. You can maximize the value of your data engineering, data science, and analytics work by investing in building out a multi-use data-platform that serves business users, Analysts, Statisticians, and intelligent applications...


  • Director of Data Science - Fair Trade Certified - Oakland, CA
    Fair Trade USA's newly formed Data Team works with departments across the organization to collect, manage, analyze and share data about Fair Trade USA’s business and the impact of our work. The organization is committed to being excellent stewards of our data while working quickly to create meaningful data insights that can be used to evaluate the effectiveness of our programs and deliver supply chain insights to our partners. The Director of Data Science will lead a team of 7 data practitioners at Fair Trade USA...

Training & Resources

  • Facebook’s Field Guide to Machine Learning video series
    The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems...
  • So your data science project isn’t working
    Despite having beat myself up in these situations, these projects aren’t failing because of me as a data scientist. After experiencing this time and time again, I’ve come to the conclusion that there are three real reasons why data science projects fail...


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