Abstract
Machine learning is rapidly changing the landscape of engineering industries by improving data analysis, prediction, and problem solving. This in-depth review explores the multifaceted role of machine learning in engineering education. It covers the basic concepts, various applications, benefits, challenges, tools, and resources. Additionally, it provides insight into curriculum integration, case studies, and projects, and makes predictions about future trends in this dynamic field.
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Authors
Journal Editor, P. .-., Gourav Sharma, Dhawan K Nama, Khushi Saraswat, & Dr. Ruchi Sharma. (2024). Machine Learning: A review. PRATIBODH, (NCDSNS). Retrieved from https://pratibodh.org/index.php/pratibodh/article/view/120
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