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 stars76.75%
- 4 stars19.06%
- 3 stars3.19%
- 2 stars0.65%
- 1 star0.33%
TOP REVIEWS FROM MATHEMATICS FOR MACHINE LEARNING: MULTIVARIATE CALCULUS
Just a great course for getting you ready to understand machine learning algorithms. The chapter on backpropagation is simply outstanding and the programming assignments are awesome!
Very clear and concise course material. The inputs given during the videos and the subsequent practice quiz almost force the student to carry out extra/research studies which is ideal when learning.
Quality of instruction and the visual presentation was superb. Completing the second course in this specialisation in Machine Learning has improved my confidence to tackle more advanced topics
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
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.