Вернуться к Mathematics for Machine Learning: Multivariate Calculus

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

4.7
звезд
Оценки: 4,957
Рецензии: 887

## 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

JT
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.

SS
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.

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## 376–400 из 892 отзывов о курсе Mathematics for Machine Learning: Multivariate Calculus

автор: Mattia P

22 июня 2019 г.

Great content, amazing lecturers...just brilliant. Well done Imperial.

автор: Omar B

8 окт. 2020 г.

Fue un excelente curso, aprendí muchísimo. Lo recomiendo ampliamente.

1 сент. 2020 г.

This is good course to learn and refresh important concepts behind NN

автор: Ronald T B

21 янв. 2019 г.

Great course. make a difficult subject hand able greatly. worth time.

автор: Daniel V M

20 окт. 2019 г.

An excellent course to understand the maths behind machine learning.

автор: Hritik K S

21 февр. 2019 г.

автор: Rafi D

18 февр. 2019 г.

Great course! A bit more challenging than the Linear Algebra course.

автор: Yashwanth M

4 мая 2020 г.

In love with this course from Coursera and Imperial College London

автор: Anas N B

4 авг. 2018 г.

It helped me to brush up my calculus knowledge.thanks to the team

автор: Enrique A M

27 окт. 2020 г.

Mil Gracias maestros, Samuel, David, Fredi, Mil gracias Coursera.

автор: ISRAEL F G S

6 сент. 2020 г.

Amazing course, very challenging and lots of learning. Thank you!

автор: Jesús E C G

8 авг. 2020 г.

Muchas gracias por el curso! Muy buen material, súper recomendado

автор: Pranit M

11 июня 2020 г.

Amazing explanations by the instructors and,

greatly constructed!

автор: Snehal P

19 сент. 2020 г.

It was nice course. Little bit time consuming but we can manage.

автор: Benjamin C

21 янв. 2020 г.

This is a very good course both on theoritical an applied sides.

автор: Zecheng W

23 сент. 2019 г.

Great course！ Great review for multivariable Calculus and coding

автор: taeha k

24 июля 2019 г.

Recommend if you want to know the basic math of Machine Learning

автор: Navaneeth M

15 мая 2019 г.

Excellent course. Must do course for Machine Learning Developer.

автор: Sergii T

25 нояб. 2018 г.

Nice Course. It is well structured and is interesting to follow.

автор: George W

19 окт. 2018 г.

Nice course. Except the graph of the last assignment won't show.

автор: Md. A A M

20 авг. 2020 г.

Fantastic effort to teach such a great way. Highly Recommended.

автор: Thomas L

4 нояб. 2019 г.

Brilliant course that covers so much in such a short time span.

автор: Jevon K M

9 мар. 2019 г.

My current (2019.03.09) employer hates it. Therefore I love it.

автор: Tich M

3 янв. 2019 г.

great course, great teachers. they break things down very well!

автор: Tao S

8 февр. 2021 г.

This course is excellent! I really enjoy Dr.Cooper's teaching.