Introduction to machine learning / Ethem Alpaydin.
Material type:
TextSeries: Adaptive computation and machine learningPublisher: Cambridge : The MIT Press, 2020Edition: 4th editionDescription: 712 pages : illustrations (black and white) ; 23 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9780262043793 (hbk.) :Subject(s): Machine learning | Computers and IT | Computers and ITDDC classification: 006.3'1 Summary: The goal of machine learning is to program computers to use example data or past experience to solve a given problem. This is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts.
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.31 ALP (Browse shelf(Opens below)) | Available | 06797326 |
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| 006.301 WAL Mind and machine / | 006.301 WAL Mind and machine / | 006.301 WAL Mind and machine / | 006.31 ALP Introduction to machine learning / | 006.31 BON Mastering Machine Learning Algorithms. | 006.31 CHO Deep learning with Python / | 006.31 CHO Deep learning with Python / |
Previous edition: 2014.
Includes bibliographical references and index.
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. This is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts.
Specialized.
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