Mathematics for Machine Learning [Full Course] | Essential Math for Machine Learning | Edureka
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About this course
This comprehensive course dives deep into the essential mathematical concepts that underpin machine learning, including linear algebra, multivariate calculus, probability, and statistics, providing learners with the foundational skills needed to understand and apply machine learning algorithms effectively.
What you should already know
A basic understanding of programming and data analysis is recommended before embarking on this course.
What you will learn
By the end of this course, learners will have a solid grasp of the mathematical fundamentals that drive machine learning algorithms and will be able to apply these concepts to real-world data problems.