Machine learning basics

Krasimira Kapitanova; Sang H. Son

doi:10.1201/b14300

Machine learning basics

Krasimira Kapitanova
, Sang H. Son

Department of Electrical Engineering and Computer Science

University of Virginia

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

15 Scopus citations

Abstract

The goal of machine learning is to design and develop algorithms that allow systems to use empirical data, experience, and training to evolve and adapt to changes that occur in their environment. A major focus of machine learning research is to automatically induce models, such as rules and patterns, from the training data it analyzes. As shown in Figure 1.1, machine learning combines techniques and approaches from various areas, including probability and statistics, psychology, information theory, and artificial intelligence.

Original language	English
Title of host publication	Intelligent Sensor Networks
Subtitle of host publication	The Integration of Sensor Networks, Signal Processing and Machine Learning
Publisher	CRC Press
Pages	3-29
Number of pages	27
ISBN (Electronic)	9781439892824
ISBN (Print)	9781439892817
DOIs	https://doi.org/10.1201/b14300
State	Published - 1 Jan 2012

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Publisher Copyright:
© 2013 by Taylor & Francis Group, LLC.

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Machine learning basics

Abstract

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