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This course introduces the fundamental math used in AI as a review and refresher in preparation for more comprehensive course work.
After a course session ends, it will be archived.
This self-paced, asynchronous course is recommended for learners who want to establish a solid knowledge base in statistics, linear algebra, multivariable calculus, probability and foundational topics in math.
Learners can expect to review the mathematical and technical coursework as well as complete a self-assessment.
- Python experience
- Java, C or C++ experience (highly recommended, but not required)
- Academic performance in the advanced math areas of linear algebra, multivariable calculus and statistics
This course will enable students to:
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
