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ColumbiaX: Essential Math for AI

This course introduces the fundamental math used in AI as a review and refresher in preparation for more comprehensive course work.

Essential Math for AI
2 weeks
1–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Nov 22

About this course

Skip About this course

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.

At a glance

  • Institution: ColumbiaX
  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:

    - 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

What you'll learn

Skip What you'll learn

This course will enable students to:

  • Understand the components of math for AI functions including recursions, lambda expressions and higher-order functions.

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.

This course is part of Essential Math for AI Programming & Data Structures Professional Certificate Program

Learn more 
Expert instruction
2 skill-building courses
2 months
1 - 3 hours per week

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