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Essential Math for AI
edX
Course
Advanced
Free to Audit
Certificate

Essential Math for AI

Columbia University

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

2 hrs/week2 weeksEnglish3,371 enrolled
Free to Audit

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.

What You'll Learn

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

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

Instructors

D

Daniel Bauer

Lecturer in the discipline of natural language processing in the Department of Computer Science

Course Info

PlatformedX
LevelAdvanced
PacingUnknown
CertificateAvailable
PriceFree to Audit

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