Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems
商品＃: 53210962

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

商品＃: 53210962

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This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
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製品詳細

Get your hands on the latest edition of the bestselling book to learn concepts, tools, and techniques to build intelligent systems. Paperback available - 31 Oct. 2022. Shop at Ubuy 日本
Item Weight1.5 lbs (680 grams)

製品説明書

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems

何か質問はありますか？ おしゃべりしましょう

顧客の質問と回答

  • 質問: What programming language is used in this book?

    答え: The book uses Python programming language with Scikit-learn, Keras, and TensorFlow frameworks.
  • 質問: Do I need prior experience in deep learning?

    答え: No, the book is suitable for programmers with little to no prior experience in deep learning.
  • 質問: Does the book cover unsupervised learning techniques?

    答え: Yes, the book covers unsupervised learning techniques such as clustering, dimensionality reduction, and anomaly detection.

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今すぐ注文すると 頃に届きます Monday, 7月 13

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特徴と利点

  • Book explores machine learning techniques using Scikit-learn, Keras and TensorFlow
  • Suitable for programmers with no prior experience in deep learning
  • Covers a range of models from simple linear regression to deep neural networks
  • Includes code examples and exercises throughout the book
  • Dives into neural net architectures for computer vision, NLP, generative models, deep reinforcement learning
  • Explores unsupervised learning techniques like clustering, dimensionality reduction and anomaly detection

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