Logo image
Back
Chapter 1 - Machine learning methods
Book chapter

Chapter 1 - Machine learning methods

Daniel Schwartz, Ali Shokoufandeh, Michael Grady and Masoud Soroush
Artificial Intelligence in Manufacturing, pp 1-38
2024
DOI: https://doi.org/10.1016/B978-0-323-99134-6.00008-6

Abstract

Artificial intelligence Hybrid learning Machine learning Neural networks Supervised learning
Machine learning (ML) has advanced substantially in the past couple of decades. ML methods can now capture and represent complex relationships and are increasingly robust and versatile. As such, they are now used in many applications. This chapter reviews existing ML methods and puts them into perspective. It discusses the strengths and weaknesses of each method and provides future prospects.

Metrics

4 Record Views
2 citations in Scopus

Details

Logo image