Math for AI Beginner Part 2 : Vector Calulus
This course is for learning basic AI and related mathematical concepts and techniques needed for formulating and solving problems in engineering using AI. This...
By Yoon Yong Jin on Coursera
About This Course
This course is for learning basic AI and related mathematical concepts and techniques needed for formulating and solving problems in engineering using AI. This course selects, introduces and explains AI concept, 4th industrial revolution, machine learning concept,and it's applications using vector calculus. To use vector calculus for AI, this course introduces gradient, divergence and curl of a vector point function and related identities including evaluation of line, surface and volume integrals using Gauss, Stokes and Green’s theorems and their verification with the physical interpretations of common forms of applications of partial differential equations in various disciplines of study for AI and Math beginners. Upon successful completion of the course, students should appreciate mathematics as a useful tool for formulating (modelling) and solving AI related engineering problems and have a basic understanding of some concepts in vector calculus for AI.
Topics Covered
Frequently Asked Questions
How much does Math for AI Beginner Part 2 : Vector Calulus cost?
Visit the Math for AI Beginner Part 2 : Vector Calulus course page for current pricing and available discounts.
Who teaches Math for AI Beginner Part 2 : Vector Calulus?
Math for AI Beginner Part 2 : Vector Calulus is taught by Yoon Yong Jin, Korea Advanced Institute of Science and Technology(KAIST).
What skill level is Math for AI Beginner Part 2 : Vector Calulus for?
This course is designed for beginner learners.
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