Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Even programmers who know close to nothing about deep learning can use simple, efficient tools to implement programs capable of learning from data.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Nº de artículo: 119848985

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Nº de artículo: 119848985

HNL 2379

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Even programmers who know close to nothing about deep learning can use simple, efficient tools to implement programs capable of learning from data.
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What Stands Out

Comprehensive Coverage
This book provides an in-depth exploration of hands-on techniques in machine learning using Scikit-Learn, Keras, and TensorFlow, catering to beginners and intermediate learners alike.
Practical Examples
With practical examples and real-world applications, readers can apply theoretical concepts effectively, ensuring a better understanding of machine learning models and algorithms.
Updated Content
The 2nd edition includes the latest advancements and best practices in deep learning, ensuring readers learn up-to-date methodologies that are relevant in today’s tech landscape.

Detalles de producto

Shop Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition online at a best price in Honduras. 325513041400
ISBN9781098125974
Subject AreaComputers
Publication NameHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems
PublisherO'reilly Media, Incorporated
Item Length9.1 in (23.11 cm)
SubjectIntelligence (Ai) & Semantics, Natural Language Processing, Neural Networks, Data Processing, Programming Languages / Python, Computer Vision & Pattern Recognition
Publication Year2022
TypeTextbook
FormatTrade Paperback
LanguageEnglish
Item Height1.8 in (4.57 cm)
AuthorAuru00e9lien Gu00e9ron
Item Weight51 Oz (1445.85 grams)
Item Width7.6 in (19.3 cm)
Number of Pages861 Pages

Who Should Buy?

Suitable For
  • Beginner Data Scientists

    Perfect for those new to machine learning, providing clear explanations and hands-on coding examples.

  • Intermediate Practitioners

    Ideal for those with basic knowledge looking to deepen their understanding and apply techniques effectively.

  • Educators and Instructors

    Useful as a teaching resource, concise in explaining concepts while offering practical exercises for students.

Not Suitable For
  • Advanced Researchers

    Not suitable for experts seeking cutting-edge techniques; lacks depth in intricate theoretical foundations.

DESCRIPCIÓN DEL PRODUCTO

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Preguntas y respuestas de los clientes

  • Pregunta: Do I need prior experience in machine learning to use this book?

    Respuesta: No, this book is designed for programmers with little to no experience in machine learning.
  • Pregunta: What kind of tools will I learn to use?

    Respuesta: You will learn to use simple, efficient tools for implementing deep learning algorithms.
  • Pregunta: Will this book help me apply deep learning in real-world scenarios?

    Respuesta: Yes, the book provides practical examples and applications to help you implement deep learning in real-world projects.

Revisión editorial

Hands-On Machine Learning With Scikit-Learn, Keras, And TensorFlow, 2nd Edition is a comprehensive textbook authored by Aurélien Géron, published by O'Reilly Media in 2022. This edition spans 861 pages and covers essential topics in artificial intelligence, including natural language processing and neural networks, making it an invaluable resource for building intelligent systems. The book’s format as a trade paperback makes it accessible, and its structured approach integrates practical exercises that enhance learning. Such features have garnered high praise from readers who appreciate its clarity and depth, making complex concepts easy to grasp.

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ventajas

  • Comprehensive coverage of machine learning topics
  • Practical exercises enhance understanding
  • Clear and structured explanations
  • Great resource for both beginners and experts
  • Well-regarded author enhances credibility

Contras

  • A bit hefty for casual reading due to page count

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