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Back to Mathematics for Machine Learning: Multivariate Calculus

Learner Reviews & Feedback for Mathematics for Machine Learning: Multivariate Calculus by Imperial College London

4.7
stars
5,635 ratings

About the Course

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....

Top reviews

DP

Nov 25, 2018

Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.

JT

Nov 12, 2018

Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.

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951 - 975 of 1,001 Reviews for Mathematics for Machine Learning: Multivariate Calculus

By Khang “ P

Sep 22, 2021

The last 2 modules have very promising content, yet the instructor did not do well enough. I found myself totally lost in the confusing explanation of David, although I've already have experience in Multivar Calc and take this course just as a refresher.

By Ginés M

Jul 1, 2024

David Dye made the whole course much worse. Hard to understand sometimes due to not vocalizing properly, shows graphs without pointing in any way so the explanations are not clear, and then just says "thats pretty neat!" at the end.

By Joshua V R

Aug 26, 2022

Weeks 5 and 6 could be greatly improved in terms of clarity and quality of the explanations. More solved examples would be very helpful and appreciated. On the other hand, weeks 1 to 4 met the expectations and were very ilustrating.

By Yi Z

Aug 3, 2018

Such a easy course, if you totally a novice in multi-variables calculus, you could take this course, Whereas, if you are familiar with calculus, it will be quite easy for you.

I hope more programming assignment about Machine Learning

By ZHANSHAOXUN

Nov 9, 2021

the connection seemed poor between weekly targets. it was super easy at first and became very difficult at last, honestly i do not think this is designed for students with no relavant foundations in math or machine learning.

By Rob E

Aug 11, 2020

The instructor for this course actually tried to explain the concepts, unlike the other two courses in this specialization. However, no one is available to answer questions.

By Shivam K

Jun 30, 2020

I feel that the course was too fast paced. I had to constantly refer to many other website like khan academy and 3b1b. The course skipped many details and lacked intuition.

By pranshu s

Oct 17, 2020

You will get some intuition of mathematics used in Machine Learning as well as there will be less fear in doing ML courses if you would complete this course.

By Alfred S

Jan 13, 2019

Course would be prefect if there would not be technical issues with opening notebooks. It slows me down by 1 week. But content was really relevant to ML.

By kumar s

Aug 9, 2020

Overall average course. Not that much good as expected because of David Dye. He was teaching very poor in this course as compared to course-1.

By Zhonglu L

Apr 19, 2024

I think the first teacher is better than the second one. The content by the second teacher can be more clear and go even deeper / analytical!

By TirupathiRao p

May 21, 2020

Last 2 weeks completely diverged. Failed to converge. I wish content was more elaborate.First course of this specialization was far better.

By Mayank G

Jul 4, 2018

Role of discussion forum is very less. Please improve on that to have healthy participation. Otherwise, course content is really good.

By Deleted A

Dec 7, 2019

first 4 weeks were good. Starting from week 5 course explanation was bad. Was required to watch other videos.

By Lieu Z H

Nov 18, 2019

Lecture videos are quite sparse, and the quizzes test things that they don't teach you in the lecture

By Saurabh M

Sep 29, 2020

A bit fast paced, could be much more beneficial with some added explanations.

By Lee j

May 23, 2019

Too fast to understand what instructors says.. but lecture contents are good

By Erwin M

Apr 28, 2021

The basics is explained so light, that you wonder if it is of any use.

By Akeel A

Aug 29, 2020

It was a lot of fun at points. Would recommend to anyone else.

By Gurrapu N

Apr 7, 2020

Strong disconnect between teaching videos and assignments.

By jgkostas

Apr 13, 2020

Course would enhanced if pdf's of lectures were provided.

By Alkis

Jul 14, 2019

There is a decent space for course improvement.

By prudhvi

Jun 23, 2019

week 6 content is not clear at least for me .

By Ahmad A

Feb 22, 2021

Too many Assignments and Quizzes to pass

By Lawrence L

Jan 27, 2024

Go over the derivatives extremely quick