Learn how to design, develop, deploy and iterate on production-grade ML applications.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Automatic extraction of relevant features from time series:

🔥 Machine Learning Notebooks

A series of machine learning tutorials for Torch7