Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022
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Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022
This book is irreplaceable, both as an overview of the ambitious field of machine learning and as a treasure trove of practical knowledge.
Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022
Preces #: 87943410

Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022

Preces #: 87943410

€ 40

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Shop Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022 online at a best price in Latvia. 429501558X
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Python machine learning programming ［PyTorch&scikit-learn edition］ impress top gear Tankobon Softcover – December 15, 2022

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Klientu jautājumi un atbildes

  • jautājums: What programming languages does this book cover?

    atbildi: This book focuses on Python programming, specifically using libraries like scikit-learn and PyTorch.
  • jautājums: Is this book suitable for beginners?

    atbildi: Yes, it starts with the basics of machine learning, making it accessible for beginners.
  • jautājums: Does the book include practical coding examples?

    atbildi: Absolutely, the book includes practical coding examples to help implement the concepts learned.

Sebastian Raschka , uxi (Hayden) Liu , Vahid Mirjalili Editorial Review

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Pros

  • Comprehensive learning materials
  • User-friendly interface
  • Strong community support
  • Hands-on practical exercises
  • Covers popular libraries

Mīnusi

  • Some advanced topics may be brief.

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€ 40

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Funkcijas un priekšrocības

  • Comprehensive guide covering basics to advanced machine learning techniques.
  • In-depth explanations of scikit-learn and PyTorch for practical applications.
  • Explores cutting-edge methods like Transformers and graph neural networks.
  • Features hyperparameter tuning, ensemble learning, and regression analysis.
  • Includes practical coding examples for real-world applications.
  • Highly recommended by readers and industry experts for effective learning.