— In the News —
Alarmed that decades of crucial climate measurements could vanish under a hostile Trump administration, scientists have begun a feverish attempt to copy government data onto independent servers in hopes of safeguarding it from any political interference.
There are enormous gains that can be made from using the latest machine learning tools. But there are also many challenges and some of the most important are easy to miss. This article is aimed at anyone who wants to use data science to create social good, but is unsure how to proceed.
Turns out anyone can make a multi-million dollar company in 30 minutes.
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— Tools and Techniques —
Gentle introduction to neural networks, including lots of diagrams, linked references, and useful interactives.
Well-researched list of the Python libraries that have had the greatest impact in 2016. The descriptions and rationale for being included on this list are fantastic and make this a must-read post.
Mark Zuckerberg's personal challenge for 2016 was to build a simple AI to run his home - like Jarvis in Iron Man. In this personal account, Mark explores what's really possible with today's technologies.
— Resources —
Free, online course that's designed to take anyone with some coding experience to the point they can apply deep learning to create state of the art models in computer vision, natural language, and recommendation systems.