A First Course in Machine Learning, Second Edition

A First Course in Machine Learning, Second Edition
Author :
Publisher : CRC Press
Total Pages : 346
Release :
ISBN-10 : 9781498738569
ISBN-13 : 1498738567
Rating : 4/5 (69 Downloads)

Book Synopsis A First Course in Machine Learning, Second Edition by : Simon Rogers

Download or read book A First Course in Machine Learning, Second Edition written by Simon Rogers and published by CRC Press. This book was released on 2016-10-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." —Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." —Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." —David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." —Guangzhi Qu, Oakland University, Rochester, Michigan, USA


A First Course in Machine Learning, Second Edition Related Books

A First Course in Machine Learning, Second Edition
Language: en
Pages: 346
Authors: Simon Rogers
Categories: Business & Economics
Type: BOOK - Published: 2016-10-14 - Publisher: CRC Press

DOWNLOAD EBOOK

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision
Machine Learning
Language: en
Pages:
Authors: Andreas Lindholm
Categories: Machine learning
Type: BOOK - Published: 2022 - Publisher:

DOWNLOAD EBOOK

"This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statist
Foundations of Machine Learning, second edition
Language: en
Pages: 505
Authors: Mehryar Mohri
Categories: Computers
Type: BOOK - Published: 2018-12-25 - Publisher: MIT Press

DOWNLOAD EBOOK

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machin
Machine Learning
Language: en
Pages: 407
Authors: Stephen Marsland
Categories: Business & Economics
Type: BOOK - Published: 2011-03-23 - Publisher: CRC Press

DOWNLOAD EBOOK

Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical
An Introduction to Statistical Learning
Language: en
Pages: 617
Authors: Gareth James
Categories: Mathematics
Type: BOOK - Published: 2023-08-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast