Introduction to Machine Learning

Christo El Morr, Manar Jammal, Hossam Ali-Hassan and Walid El-Hallak ()
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Christo El Morr: York University
Manar Jammal: York University
Hossam Ali-Hassan: York University, Glendon Campus
Walid El-Hallak: Ontario Health

Chapter Chapter 1 in Machine Learning for Practical Decision Making, 2022, pp 1-43 from Springer

Abstract: Abstract The last two decades have seen a quiet but important revolution in computer science. Now more than ever, computers and algorithms are leading to more prosperous and more accurate insights with software that learns from experience and adapts automatically to match the needs of its tasks [1]. Formerly, the programmer decided how the system would work by manually writing the code. Today, we do not write programs but rather collect data consisting of instruction insights, and develop the algorithms changes that manipulate it as necessary to extract patterns and insights. Today, we have programs that can recognize faces and fingerprints, understand speech, translate, navigate, drive a car, recommend movies, and many more [1]. This is possible now because of artificial intelligence (AI) and its fields, mainly machine learning.

Date: 2022
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DOI: 10.1007/978-3-031-16990-8_1

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