Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Third Edition 2023
• 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