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HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN AND By Aurelien Geron
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HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN AND By Aurelien Geron
US $19.99US $19.99
Mon, Jun 23, 09:28 PMMon, Jun 23, 09:28 PM

HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN AND By Aurelien Geron

US $19.99
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    Item specifics

    Condition
    Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
    Book Title
    Hands-On Machine Learning with Scikit-Learn and TensorFlow:
    ISBN-10
    1491962291
    ISBN
    9781491962299
    Subject Area
    Computers
    Publication Name
    Hands-On Machine Learning with Scikit-Learn and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
    Publisher
    O'reilly Media, Incorporated
    Item Length
    9.2 in
    Subject
    Intelligence (Ai) & Semantics, Data Processing, Computer Vision & Pattern Recognition
    Publication Year
    2017
    Type
    Textbook
    Format
    Trade Paperback
    Language
    English
    Item Height
    1.1 in
    Author
    Aurélien Géron
    Item Weight
    34.8 Oz
    Item Width
    7.1 in
    Number of Pages
    572 Pages
    Category

    About this product

    Product Identifiers

    Publisher
    O'reilly Media, Incorporated
    ISBN-10
    1491962291
    ISBN-13
    9781491962299
    eBay Product ID (ePID)
    227662629

    Product Key Features

    Number of Pages
    572 Pages
    Publication Name
    Hands-On Machine Learning with Scikit-Learn and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
    Language
    English
    Publication Year
    2017
    Subject
    Intelligence (Ai) & Semantics, Data Processing, Computer Vision & Pattern Recognition
    Type
    Textbook
    Subject Area
    Computers
    Author
    Aurélien Géron
    Format
    Trade Paperback

    Dimensions

    Item Height
    1.1 in
    Item Weight
    34.8 Oz
    Item Length
    9.2 in
    Item Width
    7.1 in

    Additional Product Features

    Intended Audience
    Trade
    LCCN
    2018-418542
    Illustrated
    Yes
    Synopsis
    Graphics in this book are printed in black and white . Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--scikit-learn and TensorFlow--author Aur lien G ron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details, Graphics in this book are printed in black and white . Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--scikit-learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details
    LC Classification Number
    Q325.5

    Item description from the seller

    About this seller

    Kaya-llc

    98.9% positive feedback7.9K items sold

    Joined Aug 2020

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    • y***3 (293)- Feedback left by buyer.
      Past 6 months
      Verified purchase
      The package arrived at a reasonable amount of time, USPS Media Mail. The book was cocooned in bubble wrap inside a sturdy box. The book is as described on the listing. A definite excellent value! I will definitely purchase from this seller again!
    • l***_ (1286)- Feedback left by buyer.
      Past month
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      The shipping was fast. I was wondering why the description said damaged dust jacket when in fact it's in wonderful condition. The book was very well protected in the envelope it arrived in. I love the price and I'm very happy with my purchase. Perfect customer service in every way!
    • 2***2 (5)- Feedback left by buyer.
      Past month
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      The book was exactly as described. It was well packed for shipping and very reasonably priced. I would definitely buy from this seller again.

    Product ratings and reviews

    4.9
    8 product ratings
    • 7 users rated this 5 out of 5 stars
    • 1 users rated this 4 out of 5 stars
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    • Book purchased

      It said there are some scratches on the cover of the book, but it’s very new and I cannot even recognize it’s old. Thanks.

      Verified purchase: YesCondition: Pre-OwnedSold by: cive7988

    • Excellent book for one who machine learning beginners

      Awesome

      Verified purchase: YesCondition: Pre-OwnedSold by: jazzysales238

    • Good

      Verified purchase: YesCondition: Pre-OwnedSold by: swamitime3

    • Five Stars

      Thank you!!!

      Verified purchase: YesCondition: Pre-OwnedSold by: xgukxkieTvq@Deleted