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book chapter · Advances in medical technologies and clinical practice book series

Machine Learning

Abstract

This chapter provides a comprehensive explanation of machine learning including an introduction, history, theory and types, problems, and how these problems can be solved. Then it shows some of the most used machine learning algorithms that are used in image classification, ending with the evaluation matrices calculations that are used to assess the performance of the learning models. The open source libraries also mentioned in this chapter facilitate the used codes for building any learning model with the use of machine learning.

Research topics

  • Machine Learning and Data Classification
  • Digital Imaging for Blood Diseases
  • Anomaly Detection Techniques and Applications

Sustainable Development Goals

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DOI: 10.4018/978-1-7998-9831-3.ch005

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