… For readers with a mathematical background, this book provides a brief but precisely … machine
learning. In contrast to other books that focus on methods and models of machine learning …

… of machine learning. In this paper, we have reviewed the different methods of ML, mathematics
behind … In this paper, we will focus on machine learning methods, mathematics for ML, its …

… science, mathematical optimization, statistics, applied math, applied physics etc. It ultimately
… introduction to machine learning. The mathematical notion closest to machine learning is …

… Machine learning is a built-in mathematical prerequisite. Machine learning is powered by a
… Objective: This paper aims to examine the mathematics behind machine learning. Method: …

… We discuss the impact that machine learning has already … mathematics, particularly
numerical analysis, can be used to help understanding and better formulating machine learning …

… While the remarkable success of machine learning methods … on commonly used machine
learning algorithms and to … we established within the mathematics studies course at the …

… fuzzy mathematics and machine learning algorithms application in educational quality evaluation
model. Machine learning … , which proves that the machine learning algorithm has good …

… Therefore, this study proposes using machine learning algorithms to evaluate the variables
influencing mathematics achievement. Three models were developed to identify behavioral …

… This chapter describes Lagrange multipliers and some selected subtopics from matrix
analysis from a machine learning perspective. The goal is to give a detailed description of a …

… of research using machine learning to explore East Asian students’ mathematics success. …
factors associated with mathematics achievement using machine learning and examine the …