Learning from data : a short course / Yaser S. Abu-Mostafa, California Institute of Technology, Malik Magdon-Ismail, Rensselaer Polytechnic Institute, Hsuan-Tien Lin, National Taiwan University.
Material type:
TextPublisher: [United States] : AML Book, [2012]Copyright date: c2012Description: xii, 201 pages : illustrations (chiefly color) ; 26 cmContent type: - text
- unmediated
- volume
- 9781600490064
- 1600490069
- 006.31 ABU 22
Contents:
1. The learning problem -- 2. Training versus testing -- 3. The linear model -- 4. Overfitting -- 5. Three learning principles -- Epilogue -- Further reading -- Appendix : Proof of the VC bound -- Notation.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
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Central Library Lower Floor | Baccah | 006.31 ABU (Browse shelf(Opens below)) | Available | 000049416 |
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| 006.3 الذ /الذكاء الاصطناعي والشبكات العصبية | 006.302855133 BRA Prolog programming for artificial intelligence / | 006.30962 ح ل م الذكاء الاصطناعي : الإنسان والآلة ... تبادل الأدوار / | 006.31 ABU Learning from data : a short course / | 006.31 AGG Machine learning for text / | 006.31 ALP Introduction to machine learning / | 006.31 BEL Machine learning : hands-on for developers and technical professionals / |
Includes bibliographical references and index.
1. The learning problem -- 2. Training versus testing -- 3. The linear model -- 4. Overfitting -- 5. Three learning principles -- Epilogue -- Further reading -- Appendix : Proof of the VC bound -- Notation.
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