Вернуться к Mathematics for Machine Learning: Linear Algebra

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

4.7
звезд
Оценки: 9,591
Рецензии: 1,936

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

EC
9 сент. 2019 г.

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

PL
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.

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1676–1700 из 1,928 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Hayder M A

25 апр. 2020 г.

Very useful materials and the instructors are very good and make it easy to understand.

автор: parikshit s

16 февр. 2020 г.

Really Good course, learnt a lot of things, just wanted this course to be in more depth

автор: Antoine P

20 янв. 2021 г.

Really intersting. Could be a bit difficult for people without mathematical background

автор: Akhil C

31 мая 2020 г.

Sam part wasn't so impressive. Really loved the way David has gone through the course.

автор: Zhejian C

20 янв. 2020 г.

Teach good intuition and good explanations but maybe a bit shallow, good for beginners

автор: Andrew K

17 февр. 2019 г.

great visual explanations of concepts, but the course could have been more informative

автор: Vinayak k

7 июня 2020 г.

Very good insight of linear algebra. It give different prospective of linear algebra.

автор: Michał K

29 нояб. 2019 г.

Good course, advise to take it, though sometimes not everything explained thoroughly!

автор: Max W

2 мар. 2020 г.

excellent approach to linear algebra, high quality and carefully thought out lessons

автор: Robin S

17 февр. 2020 г.

Very nice course. A good math overview with a balance between details and practice.

автор: Kyle B

23 сент. 2020 г.

Good course, Its a very good basis to build a math foundation for machine learning

автор: Hamza K

30 нояб. 2019 г.

Instructor should give more example related to Data Science and Machine Learning.

автор: Debzani M

29 апр. 2020 г.

An organized course, great for developing the imagination of mathematics and fun.

автор: Deleted A

19 июля 2019 г.

Really intuitive course on matrix algebra with very clear geometric explanations.

автор: Hariharasudhan A S

12 февр. 2019 г.

A good introduction, would recommend referring a textbook along with the course.

автор: Zhuocheng Y

2 дек. 2018 г.

The programming grading system doesn't work well, but the course is great anyway

автор: Xinsong D

14 июня 2018 г.

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

автор: Rocber

30 сент. 2018 г.

it is really useful to help me build geometric meaning with vector and matrix.

автор: Venkata P S

1 июня 2020 г.

The course will help us to apply the matrices for machine learning algorithm.

автор: Tarun A

21 мая 2020 г.

after learn from this course, i know very well about machine learning

thanks.

автор: Aviral A

10 дек. 2018 г.

A good course for gaining knowledge for Linear Algebra for machine learning.

автор: 胡与诚

2 апр. 2018 г.

Good course, But I think it should explain more about the underlying things.

автор: Alfian A H

3 мар. 2021 г.

Overall is good. But somehow, there are parts that I don't understand well.

автор: Bruna R

6 февр. 2021 г.

the course is excellent. I have learned a lot and it was very interactive.

автор: Gundepudi V

13 июля 2020 г.

Was a but fast. For non engineering or people who are new it will be tough