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Вернуться к Mathematics for Machine Learning: Linear Algebra

Отзывы учащихся о курсе Mathematics for Machine Learning: Linear Algebra от партнера Имперский колледж Лондона

Оценки: 9,563
Рецензии: 1,928

О курсе

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Лучшие рецензии

25 авг. 2018 г.

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

31 мар. 2018 г.

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

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1726–1750 из 1,920 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Ratnakar

1 июня 2018 г.

Very engaging course and right on spot!!!

автор: Andres O

25 мая 2018 г.

Very good linear algebra intro/refresher

автор: Paul M D C B

2 нояб. 2020 г.

Too technical but relevant nonetheless

автор: Manikanta G

22 авг. 2020 г.

it's worth taking to revise the topics

автор: Richard P

15 июля 2020 г.

Great knowledge at an affordable price

автор: Salah E

30 июня 2020 г.

it is very hard course yet very useful

автор: Nirmala R

3 июня 2020 г.

Week 5 was bit difficult to comprehend

автор: Ritwik M

17 мая 2020 г.

Prof. Sam is a bit hard to understand.

автор: danthedoubleD

22 февр. 2019 г.

good stuff hopefully, i will be useful

автор: Annamma A

30 нояб. 2020 г.

Help with programming should be given

автор: Earneet

8 июля 2019 г.

i don't know , just finish it so soon

автор: Quechen Y

9 авг. 2020 г.

a little bit hard for a beginner lol

автор: Kareem B

18 мая 2020 г.

Veru useful Course in Linear Algebra

автор: Ariel E

10 сент. 2020 г.

All topics are taught very clearly!

автор: Aditya R

22 июля 2018 г.

Really it was a very nice course .

автор: Dalila

6 сент. 2020 г.

Week 4 topics were a bit confusing

автор: SIMONOT M

29 мар. 2019 г.

Clear and interesting. Thank you.

автор: Gagah G K

9 мар. 2021 г.

A little bit hard to understand

автор: BULAND K P

30 нояб. 2020 г.


автор: Mayur S

25 авг. 2020 г.

great recommended for everyone

автор: Idriss M

23 сент. 2019 г.

great intro to linear algebra

автор: Yijie X

13 авг. 2018 г.

greate course for beginners!

автор: Siddharth S

21 мая 2020 г.

Very intuitive and helpful.

автор: Rishabh C

1 мар. 2020 г.

Nice Content and lectures.

автор: rasheeq i

19 апр. 2019 г.

Should go more in details.