Wright, Stephen J.
Optimization for Data - Analysis
- ISBN 13:
- 9781316518984
- author:
- Wright, Stephen J.
- format:
- Hardback
- publisher:
- Cambridge University Press
- language:
- English
- Publication Year:
- 2022
- Pages:
- 300
- Dimensions:
- 22.9 x 15.2 x 1.4 centimetres (0
- Genre:
- Science, Mathematics, General,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Optimization for Data Analysis by Stephen J. Wright and Benjamin Recht provides a comprehensive introduction to optimization techniques in data science. This self-contained text covers fundamental methods in optimization, including gradient and accelerated gradient methods, the stochastic gradient method, and algorithms for constrained optimization problems. The book demonstrates that many standard problems in data science can be formulated as optimization problems, and it delves into the analysis of nonsmooth functions and optimization duality. It also explores the back-propagation approach relevant to neural networks. By mastering these techniques, readers will gain a solid understanding of optimization algorithms and their applications in machine learning. With its focus on the most relevant techniques for data science, this book is an essential resource for students, researchers, and practitioners in the field.
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