A concise introduction to machine learning / A.C. Faul.
| Author/creator | Faul, A. C. |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, [2020] |
| Description | xix, 314 pages : illustrations ; 24 cm. |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Chapman & Hall/CRC machine learning & pattern recognition series |
| Abstract | "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. |
| General note | "A Chapman & Hall book." |
| Bibliography note | Includes bibliographical references (pages 301-303) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019015915 |
| ISBN | 9780815384205 (hardback ; acid-free paper) |
| ISBN | 9780815384106 (paperback ; acid-free paper) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |