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Вернуться к Mathematics for Machine Learning: Multivariate Calculus

Отзывы учащихся о курсе Mathematics for Machine Learning: Multivariate Calculus от партнера Имперский колледж Лондона

Оценки: 4,842
Рецензии: 863

О курсе

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....

Лучшие рецензии

3 авг. 2019 г.

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.

12 нояб. 2018 г.

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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776–800 из 868 отзывов о курсе Mathematics for Machine Learning: Multivariate Calculus

автор: Hari

12 февр. 2019 г.

Really good for fundamentals, the assignments were too easy though

автор: Rakesh V S

4 янв. 2020 г.

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

автор: Paulo G

29 нояб. 2018 г.

great content, but the grader software needs some improvement

автор: Prabhjot S A

2 мая 2020 г.

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

автор: Harsh D

2 июня 2019 г.

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

автор: Mark R

3 янв. 2019 г.

Good grounding in fundermental material needed for ML

автор: William S

11 янв. 2020 г.

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

автор: Shariq A

24 дек. 2019 г.

Good course ..but need to elaborate a little more

автор: Tess P

14 апр. 2020 г.

I would love to have more practice exercises

автор: SHIVANG S

25 апр. 2020 г.

Programming assignments were not so useful

автор: mnavidad

24 нояб. 2018 г.

This course was super hard but worth it...

автор: Salah E

23 июля 2020 г.

again it is too hard and pushed my limits

автор: Kleider S V G

23 авг. 2021 г.

A very orderly course, in my opinion.

автор: Kevin k

20 авг. 2021 г.

P​rof Cooper is a master at his craft

автор: Eric G

16 июля 2019 г.

A brief but also very in-depth course

автор: sreekar

23 окт. 2018 г.

Great instruction and good materials.

автор: Gurbaaz S G

14 мая 2021 г.

it was good and interesting course

автор: Julia K

6 окт. 2019 г.

A challenging but exciting course!

автор: Shivang G

1 сент. 2021 г.

To the point and decent depth

автор: Mr. S G

17 апр. 2020 г.

The course was well taught.

автор: Armen M

22 апр. 2020 г.

It was a very hard course

автор: Elnur M

24 мар. 2020 г.

Didn't like last two week

автор: Manuj M

10 июня 2020 г.

Professors were awesome

автор: danthedoubleD

14 мар. 2019 г.

hopefully it is useful

автор: Philip A

16 мая 2019 г.

Excellent Instruction