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10 Best machine learning books (2025) - Joe's Italian Restaurant & Pizza

10 Best machine learning books (2025)

Machine learning books are essential resources for anyone looking to deepen their understanding of this rapidly evolving field. In 2025, the best titles cover a range of topics, from foundational concepts to advanced techniques, ensuring that readers of all levels can find valuable insights. These books not only provide theoretical knowledge but also practical applications, making them indispensable for practitioners and enthusiasts alike. Whether you're a beginner or an experienced data scientist, exploring these top machine learning books will enhance your skills and keep you updated with the latest trends.

SALE −$36.00

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

  • 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
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$53.99
SALE −$25.99
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

  • Huyen, Chip (Author)
  • English (Publication Language)
  • 386 Pages - 06/21/2022 (Publication Date) - O'Reilly Media (Publisher)

$40.00
SALE −$27.95

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

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