Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning.
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Nº de artículo: 176109506

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

90% of respondents would recommend this to a friend

Nº de artículo: 176109506

UYU 4542

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With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning.
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What Stands Out

Comprehensive Coverage
This book covers essential machine learning concepts, tools, and techniques, making it ideal for learners at various levels seeking to build intelligent systems effectively.
Hands-On Approach
Utilizing practical examples with Scikit-Learn and PyTorch, readers can apply theory to practice, reinforcing learning and enhancing skill development in real-world scenarios.
Updated Techniques
Incorporating the latest advancements in machine learning, this edition equips readers with contemporary knowledge, ensuring they remain competitive in the rapidly evolving field of AI.

Detalles de producto

Shop Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems online at a best price in Uruguay. B0F2SG98Q9
Publisher O'Reilly Media
Publication date December 2, 2025
Edition 1st
Language English
Print length 875 pages
ISBN-13 979-8341607989
Item Weight 3.24 pounds (1.47 kg)
Dimensions 7 x 2 x 9.19 inches (17.8 x 5.1 x 23.3 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners looking to learn practical machine learning skills and apply them using popular libraries.

  • Machine Learning Practitioners

    Experienced users can enhance their techniques and explore advanced concepts in Scikit-Learn and PyTorch.

  • Students and Educators

    Used as a resource for coursework and teaching materials in machine learning and AI subjects.

Not Suitable For
  • Complete Beginners

    Those without any prior programming or data science knowledge may struggle with the concepts presented.

DESCRIPCIÓN DEL PRODUCTO

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

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Preguntas y respuestas de los clientes

  • Pregunta: Who is this book for?

    Respuesta: This book is ideal for students, professionals, and hobbyists interested in enhancing their skills in machine learning and AI.
  • Pregunta: What topics does the book cover?

    Respuesta: It covers ML basics, real-world project completion, unsupervised learning techniques, advanced architectures, and training autonomous agents.
  • Pregunta: What tools will I learn about?

    Respuesta: You will learn about Scikit-Learn, PyTorch, and how to use pretrained models, including fine-tuning techniques.

Neural Networks Editorial Review

**** "Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems" stands out as an essential resource for anyone venturing into the world of machine learning. The book's practical approach makes it uniquely accessible; it does not require readers to possess an advanced understanding of machine learning theory. Instead, it lays out the fundamental concepts in a clear and intuitive manner, which empowers readers from diverse backgrounds—including high school students—to undertake their own projects. The book is meticulously structured, providing a combination of theoretical insights and practical programming exercises that guide users through various machine learning problems. Each chapter includes complete end-to-end projects, allowing readers to apply what they've learned immediately. The addition of PyTorch updates enhances the relevance of the material, ensuring it reflects current industry tools and practices. Overall, this book is highly regarded as an exceptional starting point for newcomers seeking hands-on experience in machine learning, along with a strong recommendation for its engaging style and comprehensive content. **

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ventajas

  • Accessible to readers with varying backgrounds, including beginners with no prior knowledge.
  • Practical guides with end-to-end projects in every chapter.
  • Intuitive explanations combined with necessary technical details.
  • Useful updates reflecting current tools, including the integration of PyTorch.
  • Strong recommendation from readers as a top choice for learning hands-on machine learning.

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características y beneficios

  • Ultimate guide for beginners in machine learning and deep learning.
  • Author Aurélien Géron presents complex topics in a simple manner.
  • Focus on real-world applications and clear explanations.
  • Covers advanced tools like Scikit-Learn and PyTorch.
  • Includes techniques for unsupervised learning and reinforcement learning.
  • Perfect for students, professionals, and hobbyists to enhance their skills.

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