An edition of Machine Learning, Revised and Updated Edition
(2021)
Machine Learning, Revised and Updated Edition
by Ethem Alpaydin
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Last edited by frstndlstlns
April 1, 2023 | History
A concise overview of how computer programs can learn from data, what they can learn from data, and what happens after that.
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Subjects
artificial intelligence, data analytics, deep learning, estimation, machine learning, neural networks, recommendation systems, statisticsPeople
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cyberspace| Edition | Availability |
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1
Machine Learning, Revised and Updated Edition
2021, MIT Press, The MIT Press
e-book
in English
0262542528 9780262542524
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Book Details
First Sentence
"Some of the biggest transformations in our lives in the last half century are due to computing and digital technology."
Table of Contents
Series Forward
Preface
1. Why We Are Interested in Machine Learning
2. Machine learning, Statistics, and Data Analytics
3. Pattern Recognition
4. Neural Networks and Deep Learning
5. Learning Clusters and Recommendations
6. Learning to Take Action
7. Challenges and Risks
8. Where Do We Go from Here?
Glossary
Notes
References
Further Reading
Index
Edition Notes
Classifications
The Physical Object
ID Numbers
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| April 1, 2023 | Edited by frstndlstlns | added description |
| April 1, 2023 | Edited by ImportBot | import existing book |
| September 30, 2021 | Created by ImportBot | import new book |