| Description |
1 online resource (xix, 314 pages) |
| Series |
Chapman & Hall/CRC machine learning & pattern recognition |
|
Chapman & Hall/CRC machine learning & pattern recognition series.
|
| Contents |
Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature learning |
| Summary |
"Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"-- Provided by publisher |
| Notes |
"A Chapman & Hall book." |
| Bibliography |
Includes bibliographical references (pages 301-303) and index |
| Notes |
Description based on print version record and CIP data provided by publisher; resource not viewed |
| Subject |
Machine learning -- Textbooks
|
|
BUSINESS & ECONOMICS -- Statistics.
|
|
COMPUTERS -- General.
|
|
COMPUTERS -- Computer Graphics -- Game Programming & Design.
|
|
Machine learning.
|
| Genre/Form |
Electronic books
|
|
Textbooks.
|
|
Textbooks.
|
| Form |
Electronic book
|
| LC no. |
2021702218 |
| ISBN |
9781351204736 |
|
1351204734 |
|
9781351204750 |
|
1351204750 |
|
9781351204743 |
|
1351204742 |
|
9781351204729 |
|
1351204726 |
|
