Introduction to machine learning / Ethem Alpaydin.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9788120350786 (hardcover)
- 006.31 ALP 22
Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
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Central Library Lower Floor | Academic Bookshop | 006.31 ALP (Browse shelf(Opens below)) | 9155 | Available | 000034161 |
Index : p. 605-613.
Includes bibliographical references.
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
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