Statistical Machine Learning and Its Applications

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter aims to discuss some ongoing statistical machine learning methods and its applications by first providing a brief review of basic matrix calculations that commonly used in machine learning algorithms and computations. The chapter will then discuss the concept of singular value decomposition (SVD) and its applications of SVD in the recommender systems such as movie review ratings, and finally discuss the linear regression models.

Original languageEnglish (US)
Title of host publicationSpringer Series in Reliability Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages37
StatePublished - 2022

Publication series

NameSpringer Series in Reliability Engineering

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality


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