TY  - BOOK
AU  - Marsland,Stephen
TI  - Machine learning: an algorithmic perspective 
T2  - Chapman & Hall/CRC machine learning & pattern recognition series
SN  - 9781466583283 (hbk)
U1  - 006.31 23
PY  - 2015///
CY  - Boca Raton
PB  - CRC Press
KW  - Machine learning
KW  - Algorithms
N1  - 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
N2  - 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
ER  -