— In the News —
Google Research announced last week that they are "thrilled to have mastered Go." It's definitely an interesting development and it's worth reading the announcement. But, as the discussion in this Hacker News thread makes clear, the AI Go story is far from over.
There's a lot of interesting discussion and worthwhile links in this Reddit AMA with Todd Hartman, Aneta Piekut and Mark Taylor from the Sheffield Methods Institute.
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— Projects —
The latest Knight News Challenge offered a pool of $3 million for innovative ideas that addressed the question: How might we make data work for individuals and communities? Selected from nearly 1100 entries, here are the winning projects.
— Tools and Techniques —
Very well-written article that describes how to take business factors into account when using machine learning and most importantly, why you should care.
Interested in learning about neural networks but not sure where to start? Here's a gentle introduction with worthwhile links and sample code.
— Resources —
The Elements of Python Style goes beyond PEP8 to discuss what makes Python code feel great. Along with syntax and module layout, this guide explores areas of paradigm, organization, and architecture.
In collaboration with Udacity, Google Research has launched a short, intensive course to help make deep learning even more accessible. The course is free, self-paced, and includes interactive TensorFlow notebooks.
— Data Viz —
Project Ukko presents a novel way to spot patterns in seasonal wind prediction data. Whether you're interested in wind prediction data or not, the write-up that describes the thinking behind this project is fantastic!
The challenge here is to find a way to see an entire season of basketball at once. This approach by Adam Pearce is interesting, fun to explore, and his post includes links to several related and worthwhile articles.
ggplot2 now has an official extension mechanism. This means that users can now easily create their own stats, geoms and positions, and provide them in other packages. This site showcases those extensions. Submissions are welcome.
— About —
Data Elixir is curated and maintained by @lonriesberg. If you find this newsletter worthwhile, please help spread the word! Forward to your colleagues or share on your favorite network: