A concise introduction to machine learning / Anita Faul.

Format:

Book

Author/Creator:

Faul, A. C. (Anita C.), author.

Series:

Chapman & Hall/CRC machine learning & pattern recognition.

Chapman & Hall/CRC machine learning & pattern recognition

Language:

English

Subjects (All):

Machine learning--Textbooks.

Machine learning.

Genre:

Textbooks.

Physical Description:

xix, 314 pages : illustrations ; 23 cm.

Place of Publication:

Boca Raton, Florida : CRC Press, [2019]

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.

Contents:

Introduction

Probability theory

Sampling

Linear classification

Non-linear classification

Dimensionality reduction

Regression

Feature learning.

Notes:

Includes bibliographical references and index.

ISBN:

9780815384205

0815384203

9780815384106

0815384106

OCLC:

1048436145