Skip to Content

Books by Subject

Machine Learning Books

You are currently browsing 51–54 of 54 new and published books in the subject of Machine Learning — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 6

  1. Pattern Recognition Algorithms for Data Mining

    By Sankar K. Pal, Pabitra Mitra

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and...

    Published May 26th 2004 by Chapman and Hall/CRC

  2. Machines Who Think

    A Personal Inquiry into the History and Prospects of Artificial Intelligence, 2nd Edition

    By Pamela McCorduck

    Pamela McCorduck first went among the artificial intelligentsia when the field was fresh and new, and asked the scientists engaged in it what they were doing and why. She saw artificial intelligence as the scientific apotheosis of one of the most enduring, glorious, often amusing, and sometimes...

    Published March 16th 2004 by A K Peters/CRC Press

  3. AI for Games and Animation

    A Cognitive Modeling Approach

    By John David Funge

    John Funge introduces a new approach to creating autonomous characters. Cognitive modeling provides computer-animated characters with logic, reasoning, and planning skills. Individual chapters in the book provide concrete examples of advanced character animation, automated cinematography, and a...

    Published July 21st 1999 by A K Peters/CRC Press