Memmo - AI-verktyg och digital kurslitteratur

Bayesian NetworksUdgave 1

af Timo Koski, John Noble

Udgivelsesdato: 2011

Sider: 368

ISBN: 9780470743041

Forlag: Wiley

Kategori: Data & AI

Om bogen - Bayesian Networks

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout.

Features include:

An introduction to Dirichlet Distribution, Exponential Families and their applications.
A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.
A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.
All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online.

This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology.

Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest.

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Før Memmo var mine noter spredt ud over PDF'er. Nu samler et workspace alt ét sted – og jeg ser præcis, hvad der er tilbage at læse op på.

Memmos opsummeringer er guld inden eksamen. Jeg slipper for at genlæse 800 sider to uger før – kun de vigtigste dele.

AI-chatten har reddet mig aftenen før en eksamen mere end én gang. Jeg spørger, indtil jeg forstår det – og slipper for at vente på svar i en studiegruppe.