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Volver a Mathematics for Machine Learning: Multivariate Calculus

Opiniones y comentarios de aprendices correspondientes a Mathematics for Machine Learning: Multivariate Calculus por parte de Imperial College London

5,149 calificaciones
921 reseña

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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....

Principales reseñas


3 de ago. de 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.


25 de nov. de 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.

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901 - 925 de 925 revisiones para Mathematics for Machine Learning: Multivariate Calculus

por Aviv P

6 de dic. de 2018

many topic were explained badly

por Vivek P D

10 de sep. de 2019

Explanation is not in depth

por Mahmoud T

30 de mar. de 2020

Dr.Sam Cooper is the best.

por Yap C Y

14 de mar. de 2021

need more explanations

por Abdelftah M

5 de abr. de 2020

Change the bald man.

por Rishabh J

8 de mar. de 2019

Not very challenging

por Reena J

5 de dic. de 2020

contents Are Useful

por Tianchi M (

4 de jul. de 2018


por itwipsy17

17 de abr. de 2020

It's nice

por Alexander M

23 de ene. de 2020


por Tyler W

18 de jun. de 2022

S​ome interactive components were interesting to work through and the videos themselves were well polished and fairly engaging. However, much of the in-depth working throughs (particularly in later weeks as things get more difficult) are omitted in favor of having nicely packaged 5-10 minute videos. As a result, assignments can have Qs that are exceedingly easy or impossibly difficult (without needing to consult external resources, which you will have to do to fully grasp these concepts).

Much of the "programming" is also just implementing the pure math in Python; the actual programming you'd need to implement these concepts is pre-written, so you don't get any experience with this. I realize this isn't a programming course, but I don't think it's unreasonable for a course specifically targetting people looking to do ML can write their own functions / practice implementation.

por Alois H

18 de feb. de 2021

The material is great and very relevant to anything connected to data science, however, I didn't enjoy this course half as much as the first in the series.

It's way too dense, things appearing on the screen where it's not clear where they're coming from, explanations feel scripted and read out at high speed, frequently unclear.

If you're using screen shots for taking notes (as I do), that's not ideal either because they're writing on a glass pane while they're standing behind it.

I'm working full-time and had to take this course stretched out over a long time. Again, the presentation being so dense doesn't help there either.

All in all it feels like a published first draft of the course, it doesn't seem the instructors are trying to improve the course at all.

por norlesh

30 de may. de 2021

T​here is a total disconnect between what is 'taught' in the videos and what is tested in the questions, and no reference to any written material meaning the student is required to go and learn the tested material somwhere else in order to pass... Perhaps it is good for screening those that have the knowledge, but it is rubbish for teaching it.

por Paul K M

24 de oct. de 2019

I am not sure if this course is for people who know calc, and want to learn python coding or people who know coding and want to learn some calc? Frankly it isn't a great course for either group. I knew some calc, and some python going in, and I did expand my knowledge and gain some useful practice. But it left me craving rigor.

por Priscilla V A

27 de mar. de 2021

It's hard for me to do the coding since the course video doesn't provide any coding or any supplemental reading

por Long C

8 de feb. de 2022

with poor explanations of theories and without examples

por Mohammed A A

17 de jul. de 2020

you must first give e more example and intuition

por Indira P

24 de mar. de 2021

Sorry but it is hard to understand

por Mariya O

6 de mar. de 2020

I am extremely disappointed with these classes... if you think you would learn something/ especially as a beginner/, well, you won't...material is not well organized and presented, topics jump from one place to another, the quiz and assignments have nothing to do with the lectures...nothing is well could get more information/explanation from wikipedia ...if you are here so you can get a certificate- do it...but you are here to actually learn something- run away, you can learn more for free from Khan Academy lectures.

por Hendrik V

5 de nov. de 2020

The time required is not realistic. Had to put in exponentially more hours than suggested. Instructors are not involved in the course. You ask a question and in a couple weeks another student might help.

por Kimberely C

27 de dic. de 2019

Definitely, not for beginners. Just as bad as the last one. They need to have more examples, which walk you through the ones like they give you on the homework as well as an example of how to do Python.

por Abhishek B

15 de abr. de 2020

Instructions were very poor in many cases , Khan Academey is much better source for explanation of concepts

Instrructions on PCA are so Awful , that I decided to drop from the course

por Karl F

11 de jun. de 2022

First videos have no relatabilty to what the leanring ourcome should be. And assumes a indpeth knowlege of the conceopts being covered.


27 de oct. de 2018

No very detailed oriented and explantion of material is not clear.

por Suman G

26 de dic. de 2020

pathetic course