发帖
雷达卡
作者Aurélien Géron
- Publisher : O'Reilly Media; 3rd edition (November 8, 2022)
- Language : English
- Paperback : 861 pages
- ISBN-10 : 1098125975
- ISBN-13 : 978-1098125974
With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.
Use Scikit-learn to track an example ML project end to end
Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow_ Concepts, To.pdf
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