About Course
Engineering students often learn many programming languages and theoretical concepts during their academic journey, but many struggle to understand how mathematics actually powers modern technologies like Artificial Intelligence and Machine Learning. This course is designed specifically to bridge that gap. It helps engineering students build a strong mathematical foundation required for AI, ML, and advanced computing fields. Through clear explanations, practical examples, and step-by-step problem solving, students will learn important concepts such as linear algebra, probability, optimization, and mathematical thinking used in real-world AI systems. Instead of focusing only on formulas, the course explains the intuition behind each concept so students can apply them confidently in projects, research, and technical interviews. By the end of the program, engineering students will not only strengthen their mathematical understanding but also gain the confidence to work with machine learning algorithms, data science models, and modern AI applications.
Course Content
Machine Learning
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Mean Median Mode
01:25:00 -
What is Standard Deviation?
04:00:00
