McAuley, Julian
Personalized Machine Learning
- ISBN 13:
- 9781316518908
- author:
- McAuley, Julian
- format:
- Hardback
- publisher:
- Cambridge University Press
- language:
- English
- Publication Year:
- 2022
- Pages:
- 350
- Dimensions:
- 22.9 x 15.2 x 2.1 centimetres (0
- Genre:
- Computers, Server & Database, General Database,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Personalized Machine Learning by Julian McAuley is a comprehensive guide to designing personalized predictive models for various settings and modalities. It begins by revisiting traditional machine learning models, adapting them to user data, before introducing advanced techniques such as matrix factorization, deep learning, and generative modeling. The book concludes with an in-depth study of the consequences and risks of deploying personalized predictive systems, accompanied by case studies in e-commerce and health, as well as hands-on projects and code examples. This practical approach enables readers to gain understanding and experience with large-scale real-world datasets and design models for a wide range of applications. By covering both common principles and advanced methods, this book provides a valuable resource for those looking to develop personalized predictive systems in various domains.
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