Get started with custom lists to organize and share courses.

Sign up

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Mathematics for Machine Learning: Multivariate Calculus

Imperial College London via Coursera

7 Reviews 1317 students interested
  • Provider Coursera
  • Subject Machine Learning
  • Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Effort 2-5 hours a week
  • Start Date
  • Duration 6 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

Sign up to Coursera courses for free Learn how

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.

Taught by

Samuel J. Cooper, David Dye and A. Freddie Page

Help Center

Most commonly asked questions about Coursera Coursera

Reviews for Coursera's Mathematics for Machine Learning: Multivariate Calculus
4.9 Based on 7 reviews

  • 5 stars 86%
  • 4 star 14%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Shivani S
5.0 2 months ago
Shivani completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
The course is a great introduction to how one can translate pre-learned mathematical concepts into machine learning. I think it just makes you appreciate complicated mathematical equations as they are tied into neat computational applications.

For those who want an introduction to the math first, the course has plenty of explanatory videos as well. But as someone who did know the math, it just made me realize that my college math can actually be used to do something useful.
Was this review helpful to you? Yes
Giuliano L
5.0 9 months ago
by Giuliano completed this course, spending 3 hours a week on it and found the course difficulty to be hard.
This is the best course I have done so far, the practical part of the course is wonderful, you get to program a neural network just using numpy as a help, learn to differentiate, jacobians, hessians, newton ramphson, it is a very difficult course but it compensates when you can finish it.
Was this review helpful to you? Yes
Anonymous
5.0 3 months ago
Anonymous completed this course.
The teaching is clear and concise with an impressive breadth of material covered during the 6 weeks. There is an emphasis on developing intuition, and content is made highly engaging through visual descriptions of calculus techniques. Having completed the course, the understanding you are left with feels profound and rigorous.
Was this review helpful to you? Yes
Anonymous
5.0 8 months ago
Anonymous completed this course.
Clear explanations, cool animations, informative interactive activities and challenging assignments.

I especially enjoyed understanding back propagation from first principals and had also never seen multivariate Taylor series before!
Was this review helpful to you? Yes
Sajil K
5.0 3 months ago
Sajil is taking this course right now.
This course is an excellent one. It helped me grasp many complex concepts in an easy way. I hope every explanation/book/video follow this style. I strongly recommend this course to anyone.
Was this review helpful to you? Yes
Anonymous
5.0 3 weeks ago
Anonymous is taking this course right now.
The part taught by Dr. Samuel J. Cooper is the best course I have ever seen in Calculus. It is very important to illustrate the essence of the topic with the methods used to solve the problems.
Was this review helpful to you? Yes
Benjamin L
4.0 8 months ago
by Benjamin completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
Decent exposure to the topic and introduce some common technique used in data science. Learning curve is steep if you do not have any prior knowledge in calculus
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.