Machine Learning (McGraw-Hill International Editions Computer Science Series)

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(as of Dec 17,2024 14:30:44 UTC – Details)

Publisher ‏ : ‎ McGraw-Hill; 1st edition (January 1, 1997)
Language ‏ : ‎ English
Paperback ‏ : ‎ 414 pages
ISBN-10 ‏ : ‎ 0071154671
ISBN-13 ‏ : ‎ 978-0071154673
Item Weight ‏ : ‎ 2.03 pounds
Dimensions ‏ : ‎ 6.6 x 1.3 x 9.5 inches

In this post, we will be discussing the book “Machine Learning” from the McGraw-Hill International Editions Computer Science Series.

Machine learning is a rapidly growing field that focuses on developing algorithms and models that allow computers to learn from and make predictions or decisions based on data. This book serves as an introduction to the principles and techniques of machine learning, providing a comprehensive overview of the subject.

Key topics covered in the book include:

– Supervised learning, unsupervised learning, and reinforcement learning
– Support vector machines, decision trees, and neural networks
– Clustering, dimensionality reduction, and feature selection
– Evaluation methods for machine learning models
– Applications of machine learning in various industries and domains

The book is suitable for students, researchers, and professionals who are interested in learning about machine learning concepts and techniques. It provides a solid foundation in the field and includes practical examples and exercises to help readers apply their knowledge.

If you are looking to deepen your understanding of machine learning and its applications, “Machine Learning” from the McGraw-Hill International Editions Computer Science Series is a valuable resource to add to your library.
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