“Machine Learning in Action” by Peter Harrington is a must-read for anyone aiming to grasp both the theoretical and practical aspects of machine learning. Published by Manning in 2012, this book offers a well-rounded approach to understanding the fundamentals of machine learning while also providing practical tools and techniques to apply in real-world scenarios.
Book Details:
- Author: Peter Harrington
- Publisher: Manning
- Language: English
- Publication Date: April 19, 2012
- Pages: 384
- ISBN-13: 978-1617290183
- ISBN-10: 9781617290183
What You’ll Learn:
The book covers a wide array of key concepts, from data preprocessing to evaluating the efficiency of machine learning models. Peter Harrington breaks down complex topics such as deep learning, neural networks, and reinforcement learning in an approachable way.
Throughout the book, you’ll find numerous code examples that demonstrate how to implement algorithms using popular programming languages. This hands-on approach makes it particularly valuable for professionals in data science, software development, and artificial intelligence.
Who Should Read This Book?
- Data scientists: to deepen their understanding of machine learning algorithms.
- Software developers: to integrate machine learning into their applications.
- Students: studying AI and machine learning who need a practical guide.
- Business professionals: seeking to leverage machine learning for business growth.
Why Choose This Book?
- In-depth explanations of the theoretical foundations of machine learning.
- Practical examples that show real-world applications of ML algorithms.
- Updated insights on modern topics like neural networks and deep learning.
- Accessible material for readers at different levels of expertise.
About the Author:
Peter Harrington holds both Bachelor’s and Master’s degrees in Electrical Engineering and has a wealth of experience in data science and software development. He holds five US patents, making him a recognized figure in the field. His blend of academic knowledge and hands-on experience makes this book a reliable resource for mastering machine learning.
If you’re looking to deepen your knowledge and explore more books on related topics, you can visit ThinkJava.net, where we provide curated recommendations and insights on the latest in machine learning, programming, and web development.
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