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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: 9,666
Рецензии: 1,947

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.

22 дек. 2018 г.

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

Фильтр по:

1751–1775 из 1,938 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

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.

автор: Pip

17 июня 2020 г.

good high level overview.

автор: Priscilla V A

1 мар. 2021 г.

Nice, easy to understand

автор: Enzo M

26 февр. 2020 г.

quite complex but useful

автор: 田德宇

23 июня 2019 г.

no lectures, only videos

автор: AB

3 мар. 2019 г.

Great to relax and learn

автор: Yap C Y

14 мар. 2021 г.

Good explanations given

автор: Pourya A

12 мар. 2021 г.

it was a basic course!

автор: Patrick O

12 апр. 2020 г.

Good content, thanks.

автор: Vaibhav S

10 сент. 2019 г.

can be more detailed

автор: Brian L

20 апр. 2020 г.

Pretty good course.

автор: Kumar R

18 нояб. 2019 г.

thanks coursera....