A concise introduction to machine learning / A. C. Faul.
| Author/creator | Faul, A. C. author. |
| Other author | Chapman and Hall. |
| Format | Book |
| Publication | Boca Raton, FL : CRC Press, Taylor & Francis Group, [2020] |
| Description | xix, 314 pages : illustrations ; 24 cm. |
| Subjects |
| Series | Chapman & Hall/CRC machine learning & pattern recognition Chapman & Hall/CRC machine learning & pattern recognition series. ^A1388126 |
| Contents | Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Clustering -- Dimensionality reduction -- Regression -- Feature learning. |
| 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. |
| Bibliography note | Includes bibliographical references and index. |
| Genre/form | Textbooks. |
| LCCN | 2019015915 |
| ISBN | 9780815384205 hardcover alkaline paper |
| ISBN | 0815384203 hardcover alkaline paper |
| ISBN | 9780815384106 paperback alkaline paper |
| ISBN | 0815384106 paperback alkaline paper |
| ISBN | electronic book |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | General Stacks | Q325.5 .F38 2020 | ✔ Available | Place Hold |