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Overview
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This course aims to demonstrate that JavaScript can be used for machine learning projects, contrary to the common belief that only Python is suitable for this purpose. The learning outcomes include understanding the benefits and drawbacks of using JavaScript for machine learning, exploring JavaScript frameworks for ML, and recognizing the increasing appeal of JavaScript in the ML domain. The course teaches the skills needed to leverage JavaScript for machine learning projects. The teaching method involves discussing the relationship between JavaScript and machine learning, introducing relevant JS frameworks, and explaining the reasons for choosing JavaScript for ML. This course is intended for individuals interested in exploring the intersection of JavaScript and machine learning, particularly those looking to expand their skills in ML using JavaScript.
Syllabus
Ikram Babs-Lawal - Machine Learning with Javascript - JSWORLD 2023
Taught by
JSWORLD Conference