01_the_machine_learning_landscape.ipynb
02_end_to_end_machine_learning_project.ipynb
04_training_linear_models.ipynb
05_support_vector_machines.ipynb
07_ensemble_learning_and_random_forests.ipynb
08_dimensionality_reduction.ipynb
09_unsupervised_learning.ipynb
10_neural_nets_with_keras.ipynb
11_training_deep_neural_networks.ipynb
12_custom_models_and_training_with_tensorflow.ipynb
13_loading_and_preprocessing_data.ipynb
14_deep_computer_vision_with_cnns.ipynb
15_processing_sequences_using_rnns_and_cnns.ipynb
16_nlp_with_rnns_and_attention.ipynb
17_autoencoders_and_gans.ipynb
18_reinforcement_learning.ipynb
19_training_and_deploying_at_scale.ipynb
changes_in_2nd_edition.md
math_differential_calculus.ipynb
math_linear_algebra.ipynb
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