Tools and Techniques
Here's everything you need to know about setting up analytics at your organization. Covers tools, processes, who to hire, things not to do, etc. This is an organized and well-reasoned approach by Tristan Handy of Fishtown Analytics.
Part 3 of a popular series about exploring data with Python. This part shows how to zero in on the data you're interested in, pivot, visualize it, and examine relationships between variables.
This new post in the Google Research Blog describes an approach for collaborative machine learning that doesn't use centralized training data. Interesting applications here.
Deep Learning has broad applications for medicine. This simplified example describes traditional approaches for counting white blood cells and shows how deep learning can vastly improve accuracy while decreasing costs. Similar techniques are expected to be useful for identifying a variety of other cell types and disorders.
This tutorial uses minimax and alpha-beta pruning to build a simple chess AI. Includes code, ideas for further development, and libraries for viewing the board.