Numerical Machine Learning

Introduction to Machine Learning

Author(s): Zhiyuan Wang*, Sayed Ameenuddin Irfan*, Christopher Teoh* and Priyanka Hriday Bhoyar *

Pp: 1-5 (5)

DOI: 10.2174/9789815136982123010002

* (Excluding Mailing and Handling)


Machine learning, a rapidly growing subfield of computer science, has had a significant impact on many industries and our lives. This chapter discusses the brief history of machine learning, its widespread adoption as a de facto feature, and fundamental concepts such as supervised and unsupervised learning, regression and classification, and underfitting and overfitting. We also emphasize the importance of understanding machine learning through numerical examples, which can bridge the gap between abstract mathematical theories and practical applications of machine learning algorithms. By developing a strong foundation in machine learning, readers/students can harness its potential to address challenges and opportunities across diverse sectors. 

Keywords: Numerical Examples, Machine Learning History, Supervised Learning, Unsupervised Learning, Regression, Classification, Underfitting, Overfitting

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