ml-starter

Repository containing a list of useful, free online materials for beginning and more advanced adepts of machine learning.

Online courses

• fast.ai classical ML and DL courses
• Andrew Ng Standford course and its newest iteration
• Yann LeCun and Alfredo Canziani deep learning course

Books

• 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)

Other resources

• https://today.bnomial.com/
• https://calmcode.io/
• https://mlu-explain.github.io/
• https://www.youtube.com/@TwoMinutePapers