Jiang, Hui
Machine Learning Fundamentals: A Concise Introduction
- ISBN 13:
- 9781108940023
- author:
- Jiang, Hui
- format:
- Paperback
- publisher:
- Cambridge University Press
- language:
- English
- Publication Year:
- 2021
- Pages:
- 418
- Dimensions:
- 25.3 x 20.4 x 2.4 centimetres (0
- Genre:
- Computers, Computer Science, ,
- Condition:
- New
- Availability:
- Item usually sent within 4 working days
Description
Get a solid foundation in machine learning with this concise introduction. Hui Jiang presents core concepts in a clear and logical way, making it easy for beginners to follow.
The book covers widely used traditional methods and popular deep learning techniques, such as convolutional neural networks and transformers. Each method is explained from scratch based on the fundamentals, with a focus on big-picture understanding rather than unnecessary detail.
With numerous case studies and concrete examples, you'll see how machine learning can be applied in various contexts. This book provides a thorough introduction to supervised machine learning, making it an ideal starting point for those new to the field.
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