2019 机器学习 深度学习 最佳 入门书单 书籍推荐

Here it is — the list of the best machine learning & deep learning books for 2019.

• Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville.

• Grokking Deep Learning by Andrew W. Trask.

• Deep Learning with Python by Francois Chollet.

• Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron.

• The Hundred-Page Machine Learning Book by Andriy Burkov.

• Reinforcement Learning: An Introduction (2nd Edition) by Richard S. Sutton, Andrew G. Barto.

 

 

 

 

 

• Deep Reinforcement Learning Hands-On by Maxim Lapan.
• Learning From Data by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.
• The Book of Why by Judea Pearl, Dana Mackenzie.
• Machine Learning Yearning by Andrew Ng.
• Interpretable Machine Learning by Christoph Molnar.
• Neural Networks and Deep Learning by Michael Nielsen.