著者:Charu C. Aggarwal
出版社: Springer Nature Switzerland
発売日: 2025年09月23日
This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2022年05月04日
This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and ……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2016年03月28日
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommen……続きを見る
著者:Charu C. Aggarwal
出版社: Springer Nature Switzerland
発売日: 2024年05月14日
This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:
The basics of probability and statistics: These chapters fo……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2023年06月29日
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly ……続きを見る
This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2020年05月13日
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end o……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2018年03月19日
Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework d……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2021年07月16日
This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories:
Deductive reasoning methods: These methods start with pre-defined hy……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2018年08月25日
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly ……続きを見る
著者:Charu C. Aggarwal
出版社: Springer International Publishing
発売日: 2015年04月13日
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining is……続きを見る