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Aurélien Geron 2019-04-30 15:01:15 +08:00
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"1. [The Machine Learning landscape](01_the_machine_learning_landscape.ipynb)\n",
"2. [End-to-end Machine Learning project](02_end_to_end_machine_learning_project.ipynb)\n",
"3. [Classification](03_classification.ipynb)\n",
"4. [Training Linear Models](04_training_linear_models.ipynb)\n",
"4. [Training Models](04_training_linear_models.ipynb)\n",
"5. [Support Vector Machines](05_support_vector_machines.ipynb)\n",
"6. [Decision Trees](06_decision_trees.ipynb)\n",
"7. [Ensemble Learning and Random Forests](07_ensemble_learning_and_random_forests.ipynb)\n",
"8. [Dimensionality Reduction](08_dimensionality_reduction.ipynb)\n",
"9. [Unsupervised Learning](09_unsupervised_learning.ipynb)\n",
"10. [Neural Nets with Keras](10_neural_nets_with_keras.ipynb)\n",
"11. [Deep Learning](11_deep_learning.ipynb)\n",
"12. [Custom Models with TensorFlow 2](12_custom_models_with_tensorflow_2.ipynb)\n",
"9. [Unsupervised Learning Techniques](09_unsupervised_learning.ipynb)\n",
"10. [Artificial Neural Nets with Keras](10_neural_nets_with_keras.ipynb)\n",
"11. [Training Deep Neural Networks](11_training_deep_neural_networks.ipynb)\n",
"12. [Custom Models and Training with TensorFlow](12_custom_models_and_training_with_tensorflow.ipynb)\n",
"13. [Loading and Preprocessing Data](13_loading_and_preprocessing_data.ipynb)\n",
"14. [Deep Computer Vision Using Convolutional Neural Networks](14_deep_computer_vision_with_cnns.ipynb)\n",
"15. [Processing Sequences Using RNNs and CNNs](15_processing_sequences_using_rnns_and_cnns.ipynb)\n",
"16. [Natural Language Processing with RNNs and Attention](16_nlp_with_rnns_and_attention.ipynb)\n",
"17. [Representation Learning Using Autoencoders](17_autoencoders.ipynb)\n",
"\n",
"Chapters 14 to 18 are in progress.\n",
"Chapters 18 and 19 are in progress.\n",
"\n",
"## Scientific Python tutorials\n",
"* [NumPy](tools_numpy.ipynb)\n",