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Voltar para Mathematics for Machine Learning: Multivariate Calculus

Comentários e feedback de alunos de Mathematics for Machine Learning: Multivariate Calculus da instituição Imperial College London

5,171 classificações
924 avaliações

Sobre o 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....

Melhores avaliações


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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826 — 850 de 928 Avaliações para o Mathematics for Machine Learning: Multivariate Calculus

por Manish C

26 de abr de 2020

Excellent course for beginners who want to learn machine learning .

por João M G

31 de jul de 2019

Weeks 1-4 are great! Weeks 5 and 6 are longer and less explanatory.

por Alex S

16 de ago de 2018

Good course to learn about the mathematics behind machine learning.

por Jair J C C

26 de dez de 2019

Excellent course, some parts in the last weekend were not so clear

por Hari

12 de fev de 2019

Really good for fundamentals, the assignments were too easy though

por Rakesh V S

4 de jan de 2020

Last week was very rushed. Should be more patient in teaching.

por Paulo G

29 de nov de 2018

great content, but the grader software needs some improvement

por Prabhjot S A

2 de mai 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 jan de 2019

Good grounding in fundermental material needed for ML

por William S

11 de jan de 2020

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

por Shariq A

24 de dez de 2019

Good course ..but need to elaborate a little more

por Naseem A

20 de dez 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

P​rof 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

23 de out de 2018

Great instruction and good materials.

por Gurbaaz S G

14 de mai de 2021

it was good and interesting course

por Julia K

6 de out 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 set de 2021

To the point and decent depth