Machine learning : an algorithmic perspective / Stephen Marsland.
Material type:
TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton : CRC Press, c2015.Edition: 2nd edDescription: xx, 437 p. : illustrations ; 25 cmISBN: - 9781466583283 (hbk)
- 006.31 23 M372
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.31 M372 (Browse shelf(Opens below)) | Checked out | 12/03/2025 | 136298 |
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| 006.31 M223 Data mining and knowledge discovery handbook | 006.31 M357 Minimum error entropy classification | 006.31 M372 Machine learning an algorithmic perspective | 006.31 M372 Machine learning : an algorithmic perspective / | 006.31 M621 Machine learning : an artificial intelligence approach | 006.31 M624 On machine intelligence | 006.31 M679 Machine learning/ |
Includes index.
1. Introduction --
2. Preliminaries --
3. Neurons, neural networks, and linear discriminants --
4. The multi-layer perceptron --
5. Radial basis functions and splines --
6. Dimensionality reduction --
7. Probabilistic learning --
8. Support vector machines --
9. Optimisation and search --
10. Evolutionary learning --
11. Reinforcement learning --
12. Learning with trees --
13. Decision by committee: ensemble learning --
14. Unsupervised learning --
15. Markov chain Monte Carlo (MCMC) methods --
16. Graphical models --
17. Symmetric weights and deep belief networks --
18. Gaussian processes --
Appendix A: Python--
Index.
This book helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation.
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