Stephen Marsland

Machine Learning (eBook, PDF)

An Algorithmic Perspective, Second Edition

• Format: PDF

Produktbeschreibung

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 457
• Erscheinungstermin: 8. Oktober 2014
• Englisch
• ISBN-13: 9781466583337
• Artikelnr.: 55339725

Autorenporträt

Stephen Marsland is a professor of scientific computing and the postgraduate director of the School of Engineering and Advanced Technology (SEAT) at Massey University. His research interests in mathematical computing include shape spaces, Euler equations, machine learning, and algorithms. He received a PhD from Manchester University

Inhaltsangabe

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 Learning. Reinforcement Learning. Markov Chain Monte Carlo
(MCMC) Methods. Graphical Models. Python.