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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Paperback – 12 Dec. 2019
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Paperback – 12 Dec. 2019
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Paperback – 12 Dec. 2019
Item #: 76232075

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Paperback – 12 Dec. 2019

Item #: 76232075

NZD 121

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Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
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What Stands Out

Comprehensive Coverage
This edition provides an extensive overview of both machine learning and deep learning, making it suitable for beginners and advanced users alike, ensuring a rounded understanding of Python frameworks.
Hands-On Examples
Includes practical examples using scikit-learn and TensorFlow 2, allowing readers to apply concepts directly in coding scenarios, enhancing learning and retention through real-world applications.
Updated Content
As a 3rd edition, it incorporates the latest advancements in machine learning and deep learning methodologies, ensuring readers are equipped with contemporary insights and techniques in the evolving tech landscape.

Product Details

Explore the power of Python for Machine Learning and Deep Learning with scikit-learn and TensorFlow. Discover the latest techniques in this 3rd edition book. Shop at Ubuy New Zealand
  • Updated 3rd edition of Python Machine Learning book
  • Covers machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
  • Includes updated chapters on NumPy, SciPy, and scikit-learn
  • New chapters on Generative Adversarial Networks (GANs) and reinforcement learning
  • Emphasizes practical code examples and hands-on learning
  • Introduces PyTorch and new topics like transformers, gradient boosting, and graph neural networks
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners looking to understand machine learning fundamentals and build a solid foundation in Python.

  • Software Developers

    Great for developers wanting to integrate machine learning capabilities into existing applications using Python libraries.

  • Students and Educators

    Suitable for academic purposes, providing clear explanations and practical examples for coursework or research.

Not Suitable For
  • Complete Beginners

    Not suitable for those with no programming background, as some prior knowledge of Python is recommended.

  • Experts in ML

    Experienced practitioners may find basic concepts and examples insufficient for advanced machine learning applications.

  • Non-Technical Audiences

    Individuals without technical knowledge or interest in machine learning may struggle to understand the material presented.

Product Description

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Paperback – 12 Dec. 2019

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Product Buying Guide

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments, this book is an essential resource. The third edition is revised and expanded, covering TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices. It's a valuable tool for anyone looking to create practical machine learning and deep learning code.

Product Specifications

  • Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition 3rd ed. Edition
  • Beginner to intermediate
  • TensorFlow, scikit-learn
  • Revised and expanded to include GANs, and reinforcement learning. New content on transformers, gradient boosting, and graph neural networks

Key Features

  • Clear and intuitive explanations take you deep into the theory and practice of Python machine learning. Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices.
  • Packed with clear explanations, visualizations, and working examples, it covers all the essential machine learning techniques in depth.
  • Emphasis on practical code examples. Ideal for developers and data scientists who want to create practical machine learning and deep learning code.

Usage Scenarios

  • Ideal for Python developers new to machine learning.
  • Valuable for data scientists who want to deepen their knowledge of the latest developments in machine learning and deep learning.
  • A companion to machine learning with Python, providing a comprehensive and practical approach to learning.

Usage Scenarios

Competitors in the machine learning book category include titles such as 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' and 'Machine Learning: A Probabilistic Perspective'. Python Machine Learning, Third Edition stands out with its focus on practical code examples, clear explanations, and coverage of the latest developments in machine learning and deep learning.

Some User Review

  • Users appreciate the clear and intuitive explanations in this book.
  • Readers value the comprehensive coverage of essential machine learning techniques with practical examples.
  • Positive feedback on the updated and expanded content, including coverage of TensorFlow 2, Generative Adversarial Network models, and reinforcement learning.

Competitors

  • Python Machine Learning, Third Edition is competitively priced compared to similar books in the machine learning category. It offers a comprehensive and updated approach to machine learning and deep learning with Python, making it a valuable investment.

Buying Considerations

  • If you're looking for a book that covers the latest developments in machine learning and deep learning with Python, this revised and expanded third edition is an ideal choice.
  • For those seeking practical code examples and clear explanations to build machine learning systems, this book provides a valuable learning resource.
  • Considering the comprehensive coverage, updated content, and practical approach, the investment in this book is likely to bring great value to Python developers and data scientists.

Conclusion

Python Machine Learning, Third Edition offers a comprehensive and practical approach to machine learning and deep learning with Python. With clear explanations, updated content, and a focus on practical code examples, it is an ideal resource for Python developers and data scientists looking to deepen their knowledge and stay informed about the latest developments in the field.

View Less

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments, this book is an essential resource. The third edition is revised and expanded, covering TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices. It's a valuable tool for anyone looking to create practical machine learning and deep learning code. Continue Reading

Customer Questions & Answers

  • Question: Who is the target audience for Python Machine Learning book?

    Answer: The book is targeted towards developers and data scientists who want to create practical machine learning and deep learning code.
  • Question: What does the book cover?

    Answer: The book covers all the essential machine learning techniques in depth, and introduces readers to TensorFlow 2.0, latest additions to scikit-learn and cutting-edge reinforcement learning techniques based on deep learning.
  • Question: What can I learn from this book?

    Answer: You would be able to master the frameworks, models, and techniques that enable machines to 'learn' from data, apply machine learning to image classification, sentiment analysis, intelligent web applications, and more.

AI & Machine Learning Editorial Review

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition is a comprehensive book that is best suited for junior data scientists looking to refresh their knowledge or for individuals with technical backgrounds (such as computer science or mathematics) who are new to machine learning. The book offers technical detail and provides explained code examples for further study. However, some readers have encountered difficulties in setting up the required environment to run the code. The explanations provided in the book were not deemed helpful by one reviewer who struggled to get the code running, despite having experience with different Python versions. It is important to note that the book's code relies on specific packages and versions, which are required for correct execution. For Python 3.9.13, the recommended package versions are as follows: NumPy 1.21.2, SciPy 1.7.0, Scikit-learn 1.0, Matplotlib 3.4.3, and pandas 1.3.2. The book's physical quality receives mixed reviews. While some readers criticize the thin and cheap paper, others highlight the lack of color in the charts and graphs presented in the book, which is a disadvantage Considering the importance of visual elements in understanding machine learning concepts. In summary, Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition is a valuable resource for junior data scientists and individuals with technical backgrounds who are new to machine learning. However, readers should be aware of potential difficulties in setting up the required environment to run the code and the lack of color in the printed version.

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Pros

  • Provides technical detail and explained code examples.
  • Suitable for junior data scientists and individuals with technical backgrounds.
  • Covers machine learning and deep learning with Python, scikit-learn, and TensorFlow 2.

Cons

  • Difficulty in setting up the required environment to run the code.

Product Price History

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NZD 121

Order now and get it around Saturday, June 27

QTY:

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Features & Benefits

  • Comprehensive guide to machine learning and deep learning with Python
  • Covers all the essential machine learning techniques in depth
  • Introduces readers to TensorFlow 2.0 and latest additions to scikit-learn
  • Explores cutting-edge reinforcement learning techniques based on deep learning
  • Ideal for developers and data scientists who want to create practical machine learning and deep learning code
  • Teaches principles behind machine learning, allowing you to build models and applications for yourself