<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10013634" mdate="2024-05-08 00:00:00"> <author>Randhir Singh Baghel</author> <title>Unveiling the Mathematical Essence of Machine Learning A Comprehensive Exploration</title> <pages>52 - 59</pages> <year>2024</year> <volume>18</volume> <number>5</number> <journal>International Journal of Mathematical and Computational Sciences</journal> <ee>https://publications.waset.org/pdf/10013634</ee> <url>https://publications.waset.org/vol/209</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this study, the fundamental ideas guiding the dynamic area of machine learning&amp;mdash;where models thrive and algorithms change over time&amp;mdash;are rooted in an innate mathematical link. This study explores the fundamental ideas that drive the development of intelligent systems, providing light on the mutually beneficial link between mathematics and machine learning.</abstract> <index>Open Science Index 209, 2024</index> </article>