Text Book


Pattern Recognition and Machine Learning (Information Science and Statistics): Christopher M. Bishop: 9780387310732: Amazon.com: Books

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"In this book, aimed at senior undergraduates or beginning graduate students, Bishop provides an authoritative presentation of many of the statistical techniques that have come to be considered part of'pattern recognition' or'machine learning'. "Bishop (Microsoft Research, UK) has prepared a marvelous book that provides a comprehensive, 700-page introduction to the fields of pattern recognition and machine learning. "Author aims this text at advanced undergraduates, beginning graduate students, and researchers new to machine learning and pattern recognition. "This accessible monograph seeks to provide a comprehensive introduction to the fields of pattern recognition and machine learning.


Recommender Systems: New Comprehensive Textbook by Charu Aggarwal

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Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. In addition, recent topics, such as multi-armed bandits, learning to rank, group systems, multi-criteria systems, and active learning systems, are discussed together with applications. For subscribing institutions click from a computer directly connected to your institution network to download the book for free. To be eligible, your institution must subscribe to "e-book package English (Computer Science)" or "e-book package English (full collection)".