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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
Item #: 53210962

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

Item #: 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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    What Stands Out

    Comprehensive Coverage
    This book offers an in-depth exploration of essential machine learning concepts, tools, and techniques, making it suitable for beginners and experienced practitioners alike looking to build intelligent systems.
    Hands-On Approach
    With practical examples and exercises, readers gain hands-on experience in applying Scikit-Learn, Keras, and TensorFlow, ensuring they can effectively implement machine learning projects in real-world scenarios.
    Up-to-Date Content
    Published in November 2022, this book incorporates the latest advancements in machine learning, providing readers with current strategies and practices that reflect today's rapidly evolving technology landscape.

    Product Details

    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 Saudi Arabia
    Publisher O'Reilly Media
    Publication date 31 Oct. 2022
    Edition 3rd
    Language English
    Print length 861 pages
    ISBN-10 1098125975
    ISBN-13 978-1098125974
    Item weight 1.36 kg
    Dimensions 18.42 x 5.08 x 24.13 cm

    Who Should Buy?

    Suitable For
    • Beginner Learners

      Newcomers to machine learning who want a comprehensive introduction with practical examples and clear explanations will benefit greatly.

    • Data Scientists

      Professionals looking to enhance their practical skills in building machine learning models using popular libraries like TensorFlow and Keras.

    • Computer Science Students

      University students studying machine learning concepts who need a resourceful guide with hands-on coding exercises and projects.

    Not Suitable For
    • Advanced Practitioners

      Experienced data scientists may find the content too basic and lacking in depth for their advanced needs.

    Product Description

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

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    Customer Questions & Answers

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

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

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

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

    AI & Machine Learning Editorial Review

    The "Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems" book has received a mixture of positive and negative feedback. The majority of the reviews praise the book for its comprehensive and practical approach to machine learning and AI. Customers appreciate the practical examples and the high density of information, with one reviewer even calling it a masterpiece. The book is described as a substantial and invaluable resource for anyone working on machine learning projects. Clear explanations and working code examples are also highlighted as key positives. However, there are also complaints about the packaging and protection of the book during delivery, as well as the overwhelming amount of content, which some found challenging to retain. A potential need for supplementary resources or further reading is also mentioned.

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    Pros

    • Comprehensive and practical approach to machine learning and AI
    • High density of information
    • Substantial and invaluable resource for machine learning projects
    • Clear explanations and working code examples

    Cons

    • Overwhelming amount of content

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