Hands-on machine learning with scikit-learn and tensorflow/ Aurelien Geron
By: Geron, Aurelien
Publisher: Carlifonia: O'Reilly Media, 2018Description: 549 p. ; ill. : 24 cmISBN: 9781491962299Subject(s): Machine LearningLOC classification: Q325.5 | .G47 2018Summary: Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scalin.
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MILA University Central Library General Stacks | Q325.5 .G47 2018 (Browse shelf) | Available | SOSE | 0002709 |
Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scalin.
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