Math for Machine Learning

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/public/learning_plan/view/28/machine-learning-learning-plan

Description

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/public/learning_plan/view/28/machine-learning-learning-plan

Welcome to Math for Machine Learning where we’ll join Brent Werness, AWS Machine Learning Instructor, as he discusses the mathematics needed to understand modern machine learning. Sections in this course will review vectors and matrices, linear algebra, probability theorems, univariate calculus, and multivariate calculus.

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