Geron, Aurelien

Hands-on machine learning with scikit-learn and tensorflow/ Aurelien Geron - Carlifonia: O'Reilly Media, 2018. - 549 p. ; ill. : 24 cm.

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.

9781491962299


Machine Learning

Q325.5 / .G47 2018