| { | |
| "books": [ | |
| "Deep Learning by Ian Goodfellow", | |
| "Pattern Recognition and Machine Learning by Christopher Bishop", | |
| "The Hundred-Page Machine Learning Book by Andriy Burkov", | |
| "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aur\u00e9lien G\u00e9ron", | |
| "Machine Learning: A Probabilistic Perspective by Kevin Murphy", | |
| "Reinforcement Learning: An Introduction by Richard Sutton", | |
| "Speech and Language Processing by Dan Jurafsky", | |
| "Information Theory, Inference and Learning Algorithms by David MacKay", | |
| "Probabilistic Graphical Models by Daphne Koller", | |
| "The Elements of Statistical Learning by Trevor Hastie" | |
| ] | |
| } |