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Chapman and Hall/CRC Chapman & Hall/CRC A First Course in Machine Learning Book

Amazon

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Description

A First Course in Machine Learning by Simon Rogers and Mark Girolami provides an accessible entry point into the field of machine learning. Part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series, this textbook balances mathematical precision with readability. It begins with a detailed foundation in Bayesian analysis and progresses through advanced topics including infinite mixture models, Gaussian Processes (GPs), and MCMC. This book is designed to be easier to read than other comparable texts while maintaining the rigor required for serious study. It is an ideal resource for students and professionals looking to master both the basic foundations and the modern frontiers of machine learning and pattern recognition.

Key Features

Written by Simon Rogers and Mark Girolami as an introductory guide to machine learning.

Part of the professional Chapman and Hall/CRC Machine Learning & Pattern Recognition series.

Covers foundational Bayesian analysis before moving into advanced topics like MCMC and GPs.

Designed to be more readable than comparable textbooks while maintaining academic rigor.

Provides detailed explanations of complex subjects such as infinite mixture models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 August 2016
Listed Since
07 December 2015

Barcode

No barcode data available

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