Other Books You May Enjoy – Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Python Machine Learning - Third Edition
Sebastian Raschka, Vahid Mirjalili

ISBN: 978-1-78995-575-0

  • Master the frameworks, models, and techniques that enable machines to 'learn' from data
  • Use scikit-learn for machine learning and TensorFlow for deep learning
  • Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
  • Build and train neural networks, GANs, and other models
  • Discover best practices for evaluating and tuning models
  • Predict continuous target outcomes using regression analysis
  • Dig deeper into textual and social media data using sentiment analysis

Mastering Machine Learning Algorithms - Second Edition
Giuseppe Bonaccorso

ISBN: 978-1-83882-029-9

  • Understand the characteristics of a machine learning algorithm
  • Implement algorithms from supervised, semi-supervised, unsupervised, and RL domains
  • Learn how regression works in time-series analysis and risk prediction
  • Create, model, and train complex probabilistic models
  • Cluster high-dimensional data and evaluate model accuracy
  • Discover how artificial neural networks work – train, optimize, and validate them
  • Work with autoencoders, Hebbian networks, and GANs

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