Introduction to machine learning /
Series: Adaptive computation and machine learning Edition statement:Third edition. Physical details: xxii, 613 pages : illustrations ; 24 cm. ISBN:9780262028189 (hardcover); 0262028182 (hardcover).
Book
| Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Riara University Library General stack | Q325.5.A46 2014 (Browse shelf (Opens below)) | C.1 | Available | 7590/16 | ||
| Riara University Library General stack | Q325.5.A46 2014 (Browse shelf (Opens below)) | C.2 | Available | 7591/16 |
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| Q223.L55 2011 Visual complexity : mapping patterns of information / | Q295.B423 1981 Systems Behaviour | Q325.5.A46 2014 Introduction to machine learning / | Q325.5.A46 2014 Introduction to machine learning / | Q325.5.F67 2019 Applied machine learning / | Q325.5.F67 2019 Applied machine learning / | Q325.5.M64 2012 Foundations of machine learning / |
Includes bibliographical references (page 203) and index.
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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