Machine Learning : an algorithmic perspective /

Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolutionary...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Marsland, Stephen (Author)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton, FL : CRC Press, [2015]
Edition:Second edition.
Series:Chapman & Hall/CRC machine learning & pattern recognition series.
Subjects:
Machine learning.
Algorithms.
Apprentissage automatique.
Algorithmes.
algorithms.
Online Access:Texto completo (Requiere registro previo con correo institucional)
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.

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