Related Books
Language: en
Pages: 415
Pages: 415
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Language: en
Pages: 281
Pages: 281
Type: BOOK - Published: 2021-07-20 - Publisher: "O'Reilly Media, Inc."
When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author
Language: en
Pages: 564
Pages: 564
Type: BOOK - Published: 2016-04-29 - Publisher: Springer
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, un
Language: en
Pages: 694
Pages: 694
Type: BOOK - Published: 2003-09-25 - Publisher: Cambridge University Press
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign
Language: en
Pages: 372
Pages: 372
Type: BOOK - Published: 2021-08-10 - Publisher: John Wiley & Sons
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It