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Machine learning refined: foundations, algorithms, and applications

Machine learning refined: foundations, algorithms, and applications
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Barcode Shelf Location Collection Volume Ref. Branch Status Due Date Res.
10034320 Q325.5.W38.2020
 Computer Science   GUtech Library . . *, Long Overdue . 10 Aug 2022
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Field name Details
ISBN 9781108480727
Language E
Shelf Location Q325.5.W38.2020
Author Watt, Jeremy
Title Machine learning refined : foundations, algorithms, and applications
2nd.
Publisher UK. : Cambridge University Press , 2020.
Description 574p.: col. ill. ; 26 cm.
Specific Type of Material Book
Contents 1. Introduction to machine learning; Part I. Mathematical Optimization: 2. Zero order optimization techniques; 3. First order methods; 4. Second order optimization techniques; Part II. Linear Learning: 5. Linear regression; 6. Linear two-class classification; 7. Linear multi-class classification; 8. Linear unsupervised learning; 9. Feature engineering and selection; Part III. Nonlinear Learning: 10. Principles of nonlinear feature engineering; 11. Principles of feature learning; 12. Kernel methods; 13. Fully-connected neural networks; 14. Tree-based learners; Part IV. Appendices: Appendix A. Advanced first and second order optimization methods; Appendix B. Derivatives and automatic differentiation; Appendix C. Linear algebra.
Other name(s) Borhani, Reza. Katsaggelos, Aggelos K.
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