Rogers, Simon
A First Course in Machine Learning
- ISBN 13:
- 9780367574642
- author:
- Rogers, Simon
- format:
- Paperback / softback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2020
- Pages:
- 428
- Dimensions:
- 23.4 x 15.6 x 2.2 centimeters (0
- Genre:
- Computers, Entertainment & Games, Games Programming,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
A First Course in Machine Learning by Simon Rogers and Mark Girolami provides an accessible introduction to machine learning, combining rigor and precision with clarity. The book starts with a detailed explanation of basic foundations in Bayesian analysis and progresses to advanced topics such as infinite mixture models, Gaussian processes, and Markov chain Monte Carlo methods. This textbook strikes a balance between ease of reading and rigorous treatment, making it an excellent choice for introductory courses on machine learning. It introduces essential concepts like mathematical modeling, inference, and prediction, providing the necessary background in linear algebra, calculus, and probability theory. With its well-aligned content to the needs of an introductory course, this book is a practical and helpful resource for those looking to understand statistical methods in machine learning.
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