This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.
This course is part of the Mathematics for Machine Learning Specialization
About this Course
Skills you will gain
- Linear Regression
- Vector Calculus
- Multivariable Calculus
- Gradient Descent
Syllabus - What you will learn from this course
What is calculus?
Multivariate chain rule and its applications
Taylor series and linearisation
- 5 stars76.72%
- 4 stars19.08%
- 3 stars3.19%
- 2 stars0.65%
- 1 star0.33%
TOP REVIEWS FROM MATHEMATICS FOR MACHINE LEARNING: MULTIVARIATE CALCULUS
I am happy see that how the simple concepts of calculus can be helpful in answering the machine learning problem. Instructors are very professionals and did full justification with the course.
Just like the linear algebra one this course is absolutely awesome. The instructors provide structured insights, the assignments are well prepared. I'm amazed how much fun math can be!
As good as the first class in the Math for ML series. Instruction was interesting. Questions were not too confusing. Clearly a lot of time was spent producing this class. Thank you.
This calculus course covering realy great topic. expecially with great example but also easy to understand this is the easely this is the best explanation calculus i've ever learn so far
About the Mathematics for Machine Learning Specialization
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