Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Key features
- •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
CategoryIntelligence & Semantics
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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