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Introduction to Machine Learning, Fourth Edition: Adaptive Computation and Machine Learning series

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Overview

Machine learning is a rapidly growing field that is having a major impact on a wide range of industries, from healthcare to finance to manufacturing. In this book, Ethem Alpaydin provides a comprehensive and accessible overview of the field of machine learning.

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series)

by Ethem Alpaydin

4.7 out of 5

Language	:	English
File size	:	10954 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	1031 pages

The book covers a wide range of topics, from supervised learning to unsupervised learning, and from statistical learning to deep learning. Alpaydin explains each topic in a clear and concise manner, making the book suitable for both beginners and experienced practitioners.

What's New in the Fourth Edition

The fourth edition of to Machine Learning has been extensively updated to reflect the latest advances in the field. New topics covered in this edition include:

Deep learning
Reinforcement learning
Ensemble methods
Active learning
Transfer learning

Who This Book Is For

to Machine Learning is an ideal textbook for undergraduate and graduate students in machine learning. The book is also a valuable resource for practitioners who want to learn more about the field.

Supervised Learning
Unsupervised Learning
Statistical Learning
Deep Learning
Reinforcement Learning
Ensemble Methods
Active Learning
Transfer Learning
Applications of Machine Learning

About the Author

Ethem Alpaydin is a professor of computer engineering at Bogazici University in Istanbul, Turkey. He is a leading expert in machine learning, and he has written several books and papers on the topic.

to Machine Learning, Fourth Edition is a comprehensive and accessible overview of the field of machine learning. The book is suitable for both beginners and experienced practitioners, and it covers a wide range of topics, from supervised learning to unsupervised learning, and from statistical learning to deep learning.

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series)

by Ethem Alpaydin

4.7 out of 5