Libro Machine Learning

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
67,98 € EN AMAZON

Libro Machine Learning

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Última actualización: 12 de julio de 2025

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Machine Learning (ML): Understand the Power of Machines that Learn (Artificial Intelligence Books By Sanjay Mandavi Book 2) (English Edition)

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Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Learn Machine Learning with Python Books for Beginners Book 1) (English Edition)

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (English Edition)

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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) (English Edition)

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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)

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Machine Learning For Dummies (For Dummies (Computer/Tech))

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