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返回到 Mathematics for Machine Learning: Multivariate Calculus

学生对 伦敦帝国学院 提供的 Mathematics for Machine Learning: Multivariate Calculus 的评价和反馈

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344 个审阅


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....



Aug 04, 2019

Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.


Nov 13, 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.


226 - Mathematics for Machine Learning: Multivariate Calculus 的 250 个评论(共 347 个)

创建者 Anbu V

Mar 04, 2019

Good revision for the calculus' application in ML

创建者 Kuldeep J

Aug 25, 2019

All the mathematical constructs and deep calculus was explained in a very intuitively with the help of visually rich animations. It seems the course content creators have spent good amount of effort in creating animations for every little useful thing, kudos to them.

创建者 Nikhil K

Oct 02, 2018

Great course !

创建者 Luo Y

Oct 02, 2019

Excellent course for gaining a basic understanding for calculus-coding stuff.

创建者 cordeliazhu

Nov 11, 2019

Fantastic courses

创建者 郝亚洲(Yazhou H

Jul 17, 2018

Nice course for those want to learn machine learning. I think if there is more rigorous content such as more advanced reading materials would be better!

创建者 Xiaoyuan C

Jun 05, 2018

Fabulous applied mathematics course! It is so interesting that I cannot believe that it is a mathamatical course.

创建者 Jimmy K A

Feb 03, 2019

This is a great course to brush up your machine learning maths, this course describes backpropagation nicely and how its derived. Large part of this course is focused on optimization in which calculus is mostly used.

创建者 laszlo

Apr 30, 2018

Really helpful and informative course. Different from the traditional math course, this course focuses on the intuitive understanding of math rather than the calculation. The calculation part are done by python code, which lays a foundation for further machine learning course and shows how the mathematical concepts are used in practice.

创建者 Abhilash V

Mar 27, 2018

Good short videos and have great some practical assignments in python.A good intro and can be a good refresher to calculus for you.

创建者 Zhao J

Sep 11, 2019


创建者 林澤佑

Mar 12, 2018

Review course for multivariate calculus and basic optimization method used for curve fitting. Suggest to provide more hint for programming assignment.

创建者 J G

Apr 24, 2018

It is a very good course about the Mathematics behind the Machine Learning models.

创建者 Daniel V M

Oct 20, 2019

An excellent course to understand the maths behind machine learning.

创建者 Andreas Z

Jul 11, 2018

Just as good as the first course of this series.

创建者 Santosh B

May 14, 2019

A well structured course packing a lot of learning content and taught by good lecturers.

创建者 Ashlee H

Nov 23, 2019

Helpful look into the more specific details to the mathematics behind core concepts of machine learning.

创建者 Francisco R A

Oct 29, 2019

Great course, I really enjoyed it. The way of teaching visually rather than theoretically keeps those that get lost in formulae like me on track. The visual explanation of what a derivative is helps a lot for instance.

创建者 Marno B

Nov 19, 2018

Absolutely loved every moment!!!!

创建者 ignacio

Jun 30, 2018

Excellent way of explaining such abstract concepts.

创建者 Chi W

May 17, 2018

Excellent course! It helps understand to take the sandpit as an example for learning Jacobian, Hessian and steepest algorithm stuff. More than boring math formulas.

创建者 Seongwoo K

Sep 24, 2019

This specialization consists of the courses which deliver essential mathematical background to ML learners. I think learners would feel confident and solid when diving into ML after taking this course.

Video lectures are great with clear graphics and lecturers are passionate with energy. The most outstanding part is the programming assignments: They are designed so elegantly that you can get intuition right away once you go through them. They are simply amazing.

Meanwhile, be aware that learning curves are often steep at some points. Without some basic python skill and ML knowledge, I guess quite many people would feel frustrated. But please don't give up and push it through to completion. You will be absolutely rewarded at the end.

Thank you for great contents, David and Sam.

创建者 caterina w

Apr 02, 2019

So glad the Professor made it back - he didn't show up until week 5. He's so charismatic and funny to watch. I learnt loads from this module and really appreciate the 'audit access'. Power to the People :)

创建者 Rafael M

Sep 16, 2019


创建者 Serge H k

Dec 12, 2018

I love the assignments. It was fun being able to translate mathematics equations and algorithms into python code