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Introduction to machine learning /
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge, Massachusetts :
The MIT Press,
2014.
|
| Edition: | 3. baskı |
| Series: | Adaptive computation and machine learning .
|
| Subjects: |
Table of Contents:
- 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.