Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: 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: Concepts, Tools, and Techniques to Build Intelligent Systems
№ на артикул: 51836933

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

87% of respondents would recommend this to a friend

№ на артикул: 51836933

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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 extensively covers essential machine learning concepts, tools, and techniques, making it a valuable resource for both beginners and experienced practitioners aiming to build intelligent systems.
Hands-On Approach
The practical, hands-on approach allows readers to implement real-world projects using Scikit-Learn, Keras, and TensorFlow, enhancing understanding and retention of complex machine learning concepts.
Updated Content
The third edition includes the latest advancements in machine learning and deep learning, ensuring readers are equipped with current knowledge and skills relevant to today's rapidly evolving technology landscape.

Информация за продукта

Get the latest edition of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Enhance your knowledge and build intelligent systems. Shop now at Ubuy Bulgaria.
  • Book designed for readers with Python programming experience and familiarity with main scientific libraries
  • Suitable for those interested in machine learning applications such as customer segmentation, product recommendation, fraud detection, and revenue forecasting
  • Intended to provide concepts, tools, and intuition needed to implement programs capable of learning from data
  • Covers a wide range of techniques, from simple to deep learning algorithms, utilizing production-ready Python frameworks like Scikit-Learn, TensorFlow, and Keras
  • Scikit-Learn is user-friendly and implements many machine learning algorithms efficiently, making it a great entry point to learning machine learning
  • TensorFlow and Keras offer more complex and high-level deep learning capabilities, with TensorFlow supporting large-scale machine learning applications
Publisher O'Reilly Media
Publication date November 8, 2022
Edition 3rd
Language English
Print length 861 pages
ISBN-10 1098125975
ISBN-13 978-1098125974
Dimensions 7.25 x 2 x 9.5 inches (18.4 x 5.1 x 24.1 cm)
Package Weight3.3 Pound

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Perfect for beginners looking to build a strong foundation in machine learning concepts and techniques.

  • Developers and Programmers

    Ideal for professionals wanting to integrate machine learning into applications using popular frameworks like TensorFlow and Keras.

  • Machine Learning Enthusiasts

    Great for hobbyists eager to explore practical machine learning projects and hands-on experiments.

Not Suitable For
  • Complete Beginners

    Not suitable for those with no prior programming or mathematical knowledge, as it assumes basic familiarity.

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Intelligence & Semantics Editorial Review

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems offers a comprehensive approach to understanding machine learning techniques through practical exercises. Readers have praised the book for its clear writing style and the balance it strikes between theoretical concepts and practical application. One of the notable features is the detailed exercises that challenge learners, fostering a deeper understanding of the concepts. While some reviewers noted the focus on Keras and TensorFlow, they found that knowledge of one framework eases the transition to others. The book is filled with helpful visual aids and comprehensive explanations, making it an excellent resource for both beginners and those looking to enhance their skills in machine learning.

Customer Reviews & Ratings

4.7
900 оценки от клиенти
  • 5 звезда
    82%
  • 4 звезда
    11%
  • 3 звезда
    3%
  • 2 звезда
    1%
  • 1 звезда
    3%

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Професионалисти

  • Clear writing style enhances reader engagement
  • Thorough exercises for deep learning
  • Helpful visual aids throughout the text
  • Comprehensive reference for algorithms
  • Balanced approach between theory and application

минуси

  • Book's paper quality could be improved for durability

Product Price History

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€ 61

€ 106

Поръчайте сега и я вземете Monday, Октомври 05

QTY:

Само 4 артикули са останали на склад.
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Характеристики и предимства

  • 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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