Machine Learning

The Real Challenge in (Useful) Machine Learning isn’t Learning

This post discusses research from the UC Berkeley RISE Lab around building scalable prediction infrastructure, and why that wasn't the problem the world needed solved.

Continue reading →

How Machine Learning Became Useful

This post explores how big data, advances in parallel computing, and new abstractions transformed machine learning and artificial intelligence.

Continue reading →