Repository containing a list of useful, free online materials for beginning and more advanced adepts of machine learning.
- fast.ai classical ML and DL courses
- Andrew Ng Standford course and its newest iteration
- Yann LeCun and Alfredo Canziani deep learning course
- The Hundred-Page Machine Learning Book
- Introduction to Stastistical Learning
- Elements of Statictial Learning
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (O'Reilly)
- Deep learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
- Pattern Recognition and Machine Learning
- Explanatory Model Analysis (P.Biecek)