Machine learning an algorithmic perspective
Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition 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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| Format: | Book |
| Language: | English |
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Boca Raton, FL
CRC Press
2015
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| Series: | Chapman & Hall/CRC machine learning & pattern recognition series
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| Subjects: | |
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Table of Contents:
- Introduction
- Preliminaries
- Neurons, neural networks, and linear discriminants
- The multi-layer perceptron
- Radial basis functions and splines
- Dimensionality reduction
- Probabilistic learning
- Support vector machines
- Optimisation and search
- Evolutionary learning
- Reinforcement learning
- Learning with trees
- Decision by committee: ensemble learning
- Unsupervised learning
- Markov chain Monte Carlo (MCMC) methods
- Graphical models
- Symmetric weights and deep belief networks
- Gaussian processes
- Python