Python Machine Learning By Example: The easiest way to get into machine learning
Yuxi (Hayden) Liu is an author of a series of machine learning books and an education enthusiast.
Python Machine Learning By Example: The easiest way to get into machine learning
Nº de artículo: 11888725

Python Machine Learning By Example: The easiest way to get into machine learning

Nº de artículo: 11888725

USD 76

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Yuxi (Hayden) Liu is an author of a series of machine learning books and an education enthusiast.
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What Stands Out

Practical Approach
Utilizes real-life examples to simplify complex machine learning concepts, ensuring easier comprehension for beginners and facilitating hands-on learning.
Comprehensive Coverage
Covers a broad range of machine learning algorithms and techniques, equipping readers with essential knowledge and skills to tackle various data science problems effectively.
User-Friendly Format
Structured for clarity and accessibility, making it ideal for novices who prefer straightforward guidance over dense academic texts, enhancing the learning experience.

Detalles de producto

Python Machine Learning By Example: The easiest way to get into machine learning
  • Learn the fundamentals of machine learning and build your own intelligent applications
  • Master the art of building your own machine learning systems with practical examples
  • Work with important classification and regression algorithms and other machine learning techniques
  • Explore data manipulation, visualization, and feature extraction using Python
  • Implement machine learning models from scratch and evaluate their performance
  • Solve real-world problems using machine learning and Python
Publisher Packt Publishing
Publication date May 31, 2017
Language English
Print length 254 pages
ISBN-10 1783553111
ISBN-13 978-1783553112
Item Weight 15.5 ounces (439.43 grams)
Dimensions 7.5 x 0.58 x 9.25 inches (19.1 x 1.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginners in ML

    Ideal for individuals new to machine learning, providing practical examples for easier understanding.

  • Practitioners Seeking Examples

    Great for those who prefer learning by doing, with actionable insights through real-world examples.

  • Python Enthusiasts

    Perfect for Python users wanting to integrate machine learning into their skill set seamlessly.

Not Suitable For
  • Advanced Users

    Not suitable for experienced machine learning practitioners looking for deeper, theoretical insights or advanced topics.

DESCRIPCIÓN DEL PRODUCTO

Python Machine Learning By Example: The easiest way to get into machine learning

About This Item

Introducing "Python Machine Learning By Example: The easiest way to get into machine learning" Are you new to the world of machine learning and looking for a comprehensive guide to get started? Look no further! "Python Machine Learning By Example" is the perfect resource for beginners who want to dive into the exciting field of machine learning. Authored by Yuxi (Hayden) Liu, a renowned machine learning expert and best-selling author, this book is your go-to guide to learn the ins and outs of machine learning using Python. With his vast experience in the field, Hayden has developed a practical and easy-to-understand approach to help you grasp the concepts and techniques of machine learning. This book is not just another theoretical study of machine learning algorithms. It goes beyond that by providing real-life examples and projects that will help you apply what you have learned in a practical way.

From beginner-friendly tutorials to hands-on projects, you will get a chance to build your own machine learning applications and gain valuable insights into the world of data-driven decision making. Whether you are a programmer, data scientist, or simply an AI enthusiast, "Python Machine Learning By Example" has something for everyone. It covers a wide range of topics, including: - Python machine learning libraries: Explore popular Python libraries like Scikit-learn and TensorFlow to implement machine learning algorithms. - Machine learning techniques: Learn fundamental and advanced machine learning techniques such as clustering, classification, and regression. - Machine learning frameworks: Get familiar with popular machine learning frameworks like Keras and PyTorch to build deep learning models. - Machine learning applications: Discover real-world applications of machine learning, from image recognition to natural language processing. By the end of this book, you will have a solid foundation in machine learning and be able to apply your newfound knowledge to real-world scenarios. Whether you are interested in pursuing a career in machine learning or simply want to enhance your skills, "Python Machine Learning By Example" is a must-have resource. Don't miss this opportunity to learn machine learning from a renowned expert.

Grab your copy of "Python Machine Learning By Example" now and embark on an exciting journey into the world of machine learning!.

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Intelligence & Semantics Editorial Review

This book offers an approach to learning Python for Machine Learning. Although some readers found the writing style condescending and choppy, others found it helpful and easy to understand. The author's use of examples was appreciated by many readers. However, some readers found the examples poorly set up and unhelpful in explaining concepts. The book is geared towards advanced users, but it was also found to be helpful for beginners. The author breaks down complex topics into simpler concepts, making it easier for readers to follow along.

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ventajas

  • Helpful for beginners
  • Breaks down complex topics into simpler concepts
  • Use of examples appreciated by many readers

Contras

  • Writing style found to be condescending and choppy

Product Price History

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