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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 ;)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Implementing a Neural Network from Scratch