0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

A First Course in Machine Learning (Book, 2nd edition) Loot Price: R2,173
Discovery Miles 21 730
A First Course in Machine Learning (Book, 2nd edition): Simon Rogers, Mark Girolami

A First Course in Machine Learning (Book, 2nd edition)

Simon Rogers, Mark Girolami

Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

 (sign in to rate)
Loot Price R2,173 Discovery Miles 21 730 | Repayment Terms: R204 pm x 12*

Bookmark and Share

Expected to ship within 9 - 17 working days

"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

General

Imprint: Productivity Press
Country of origin: United States
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Release date: August 2016
Authors: Simon Rogers • Mark Girolami
Dimensions: 245 x 162 x 28mm (L x W x T)
Format: Book • Other digital
Pages: 397
Edition: 2nd edition
ISBN-13: 978-1-4987-3848-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Promotions
LSN: 1-4987-3848-6
Barcode: 9781498738484

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Machine Learning and Data Mining
I Kononenko, M Kukar Paperback R2,019 Discovery Miles 20 190
Deep Learning Applications: In Computer…
Qi Xuan, Yun Xiang, … Hardcover R2,840 Discovery Miles 28 400
Digital Technologies for Agriculture
Narendra Rathore Singh Hardcover R6,923 Discovery Miles 69 230
Basic Python Commands - Learn the Basic…
Manuel Mcfeely Hardcover R847 R730 Discovery Miles 7 300
Statistical Modeling in Machine Learning…
Tilottama Goswami, G. R. Sinha Paperback R4,171 Discovery Miles 41 710
Artificial Intelligence and You - What…
Peter J. Scott Hardcover R844 R744 Discovery Miles 7 440
Data Analytics on Graphs
Ljubisa Stankovic, Danilo P. Mandic, … Hardcover R3,426 Discovery Miles 34 260
Machine Learning for Planetary Science
Joern Helbert, Mario D'Amore, … Paperback R3,590 Discovery Miles 35 900
Machine Learning Techniques for Pattern…
Mohit Dua, Ankit Kumar Jain Hardcover R8,638 Discovery Miles 86 380
Cyber-Physical System Solutions for…
Vanamoorthy Muthumanikandan, Anbalagan Bhuvaneswari, … Hardcover R7,203 Discovery Miles 72 030
Research Anthology on Machine Learning…
Information R Management Association Hardcover R17,460 Discovery Miles 174 600
Cognitive Data Models for Sustainable…
Siddhartha Bhattacharyya, Naba Kumar Mondal, … Paperback R2,941 Discovery Miles 29 410

See more

Partners