10 must-read books about machine learning.
Some of them are fully open, you can read them for free.
Thread π§΅
Some of them are fully open, you can read them for free.
Thread π§΅
"Pattern Recognition and Machine Learning" by Christopher M. Bishop @ChrisBishopMSFT
microsoft.com
1/10
microsoft.com
1/10
"Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville @goodfellow_ian
deeplearningbook.org
2/10
deeplearningbook.org
2/10
"An Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani @GarethMJam, @daniela_witten, @robtibshirani
statlearning.com
5/10
statlearning.com
5/10
"Machine Learning for Dummies" by John Paul Mueller and Luca Massaron oreilly.com
7/10
7/10
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by AurΓ©lien GΓ©ron @aureliengeron
github.com
8/10
github.com
8/10
"Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto @RichardSSutton
web.stanford.edu
10/10
web.stanford.edu
10/10
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