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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

5,317 calificaciones

Acerca del Curso

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


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.


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.

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851 - 875 de 948 revisiones para Mathematics for Machine Learning: Multivariate Calculus

por Paulo G

29 de nov. de 2018

great content, but the grader software needs some improvement

por Prabhjot S A

2 de may. de 2020

First 4 weeks were awesome but last 2 weeks were mediocre.

por Harsh D

2 de jun. de 2019

Awesome course, just wish it had more info on hessian.

por Mark R

3 de ene. de 2019

Good grounding in fundermental material needed for ML

por William S

11 de ene. de 2020

Weeks 1-4 were great, 5-6 felt rushed and confusing

por Shariq A

24 de dic. de 2019

Good course ..but need to elaborate a little more

por Naseem A

20 de dic. de 2021

get confused when going to last part this course

por Tess P

14 de abr. de 2020

I would love to have more practice exercises


25 de abr. de 2020

Programming assignments were not so useful

por mnavidad

24 de nov. de 2018

This course was super hard but worth it...

por Salah E

23 de jul. de 2020

again it is too hard and pushed my limits

por Kleider S V G

23 de ago. de 2021

A very orderly course, in my opinion.

por Kevin k

20 de ago. de 2021

Prof Cooper is a master at his craft

por Eric G

16 de jul. de 2019

A brief but also very in-depth course

por Sreekar P

23 de oct. de 2018

Great instruction and good materials.

por Gurbaaz S G

14 de may. de 2021

it was good and interesting course

por Julia K

6 de oct. de 2019

A challenging but exciting course!

por Hizkia F C E

24 de mar. de 2022

it's better to add more examples

por Shivang G

1 de sep. de 2021

To the point and decent depth

por Mr. S G

17 de abr. de 2020

The course was well taught.

por Armen M

22 de abr. de 2020

It was a very hard course

por Elnur M

24 de mar. de 2020

Didn't like last two week

por Manuj M

10 de jun. de 2020

Professors were awesome

por danthedoubleD

14 de mar. de 2019

hopefully it is useful

por Philip A

16 de may. de 2019

Excellent Instruction