ENGLISH

Machine Learning and Its Applications: Advanced Lectures

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2001
ISBN
9783540424901, 3540424903
DOI
10.1007/3-540-44673-7
Open Library ID
OL9443645M
Language
english
Format
PDF
Filesize
18 MB (19173728 bytes)
Series
Lecture Notes in Computer Science 2049 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
324\334
Library
mexmat
Time added
2009-07-20 03:45:11

Description

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

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