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Machine Learning Research Progress, Hardback Book

Machine Learning Research Progress Hardback

Edited by Hannah Peters, Mia Vogel


As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn".

At a general level, there are two types of learning: inductive, and deductive.

Inductive machine learning methods extract rules and patterns out of massive data sets.

The major focus of machine learning research is to extract information from data automatically, by computational and statistical methods.

Hence, machine learning is closely related not only to data mining and statistics, but also theoretical computer science.

This book presents new and important research in this field.


  • Format: Hardback
  • Pages: 488 pages, tables & charts
  • Publisher: Nova Science Publishers Inc
  • Publication Date:
  • Category: Machine learning
  • ISBN: 9781604566468



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