Personalized Machine Learning

Personalized Machine Learning
Author: Julian McAuley
Publisher finelybook 出版社: Cambridge University Press; New edition (February 3,2022)
Language 语言: English
Print length 页数: 350 pages
ISBN-10: 1316518906
ISBN-13: 9781316518908
Book Description
Every day we interact with machine learning systems offering individualized predictions for our entertainment,social connections,purchases,or health. These involve several modalities of data,from sequences of clicks to text,images,and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins Author: revising ‘traditional’ machine learning models,focusing on adapting them to settings involving user data,then presents techniques based on advanced principles such as matrix factorization,deep learning,and generative modeling,and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.