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Machine Learning in Action

Peter Harrington

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Purchasing books is a commendable way to back authors and publishers, recognizing their effort and ensuring they receive fair compensation for their work.

"Machine Learning in Action" by Peter Harrington offers a deep dive into the world of machine learning, combining theoretical knowledge with practical skills. It's the perfect source for those looking to master the fundamentals and applied aspects of machine learning.

This publication provides tools and techniques used for optimizing business processes, improving customer service, and developing new data-based products.

What's Inside the Book?

The guide unveils key concepts and algorithms of machine learning, emphasizing the practical side of the field. Peter Harrington guides readers through the primary stages of developing machine learning models, from data preprocessing to model efficiency evaluation.

A significant part of the book is devoted to code examples demonstrating the implementation of algorithms in popular programming languages. The author also touches on important topics like deep learning, neural networks, and reinforcement learning, making the material useful for a broad range of specialists.

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Who Should Read "Machine Learning in Action" by Peter Harrington, Manning publications?

  1. Data professionals looking to expand their knowledge in machine learning.
  2. Software developers aiming to integrate machine learning algorithms into their projects.
  3. Technical students studying artificial intelligence and machine learning.
  4. Researchers working on artificial intelligence projects.
  5. Project managers and business executives wanting to understand the potential of machine learning for their business.

What Are the Advantages of This Textbook?

  • Detailed explanation of the theoretical foundations of machine learning.
  • A rich set of practical examples and problems.
  • Updated information on the latest trends and technologies.
  • Accessibility of material for readers with different levels of preparation.
  • Inclusion of modern topics such as deep learning and neural networks.
  • Practical advice on implementing and optimizing models.
  • Demonstrations of real-world applications of machine learning.

More About the Author of the Book

Peter Harrington

He is a distinguished professional in the fields of development and data science, backed by a robust academic foundation with both Bachelor's and Master's Degrees in Electrical Engineering. His expertise and innovative contributions to the field are highlighted by his holding of five US patents. His dual role as a developer and data scientist, combined with his academic and professional accomplishments, mark him as a significant figure in the technological and scientific arenas.

FAQ for "Machine Learning in Action"

Question 1: What style is the book written in?

Answer: It's written in an accessible, understandable style with an emphasis on practical application of knowledge. The author aims to avoid excessive theoretical complexity, focusing instead on practical examples.

Question 2: Is prior programming knowledge required to understand the material?

Answer: Yes, a basic understanding of a popular programming language, such as Python, will be a significant advantage, as many examples and tasks in the textbook are implemented using code.

Question 3: What machine learning algorithms are discussed in the guide?

Answer: The author covers a broad spectrum of algorithms, from simple methods like linear regression and classification to more complex ones such as neural networks and deep learning algorithms.

Question 4: Is "Machine Learning in Action" by Peter Harrington, Manning publications suitable for preparing for a career in data?

Answer: Absolutely, this publication will be a valuable resource for those aiming to build a career in data analysis, machine learning, or artificial intelligence.

Question 5: Are there sections in the book dedicated to practical projects?

Answer: Yes, it includes chapters focused on implementing specific machine learning projects, allowing you to apply theoretical knowledge practically.


Author: Peter Harrington Language: English
Publisher: Manning ISBN-13: 978-1617290183
Publication Date: April 19, 2012 ISBN-10: 9781617290183
Print Length: 384 pages

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