This is a repo with links to everything you'd ever want to learn about data engineering

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A game theoretic approach to explain the output of any machine learning model.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

📡 Simple and ready-to-use tutorials for TensorFlow

The "Python Machine Learning (1st edition)" book code repository and info resource

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Text and code for the second edition of Think Bayes, by Allen Downey.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

Evolution Strategies Tool

Preparing for machine learning interviews

Data Engineering on Google Cloud Platform

Trust Region Policy Optimization with TensorFlow and OpenAI Gym