The Role of Mathematics Proficiency in Learning & Teaching ML
Ilinca Renţea (TU Delft - Electrical Engineering, Mathematics and Computer Science)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Machine Learning(ML) has an overarching impact, yet misconceptions about its fundamentals result in unrealistic expectations. This highlights the need for targeted educational research on how to effectively teach ML to both professionals and the general public. This thesis explores the knowledge required to learn ML, with a focus on mathematical skills, their impact on learning, and strategies for adapting instruction to different levels of math proficiency.
help_outline