— In the News —
Ben Evans from a16z discusses the excitement, skepticism and vision that's behind the magic that's happening in AI.
Great introduction to Interactive Machine Learning, an emerging discipline where AI and UX intersect. This will be key for building AI systems that people are expected to interact with.
Stitch Fix relies on a variety of machine learning algorithms to help make clothing selections for its customers. In this interview, Eric Colson describes how humans fit into the loop.
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— Tools and Techniques —
Before you can really understand AB tests, regression, and machine learning for data science, you have to understand the difference between observation and intervention.
IPython Notebook tutorials for six popular supervised machine learning methods from the recent R User Conference at Stanford.
Nice exploration of character relationships using the graph database, neo4j. Explains common graph concepts and includes lots of code snippets and screenshots.
— Resources —
Free, self-paced data science courses from the best universities in the world.
— Data Viz —
Nice interactive for exploring conditional probabilities.
Workshop materials with lots of linked references for putting data on web maps. This covers a lot of ground and does so very well. This is from Ian Johnson's recent workshop that was hosted by Stamen.