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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: 9,843
Рецензии: 1,978

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

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.

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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1726–1750 из 1,969 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Rocber

30 сент. 2018 г.

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

автор: phanidhar 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


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

автор: Abhirup B

29 июля 2020 г.

goood course well designed qizes and aasignments time saving yet fruitful

автор: Julian A

12 июня 2020 г.

Fantastic course that provides a great introduction into linear algebra.

автор: Ivan

4 июня 2018 г.

The course content is good, but the programming assignment is too easy.

автор: Ritik j

1 июня 2020 г.

some topics are explained in a typical way and a bit problem was occur

автор: I M N P M

24 февр. 2021 г.

The eigen value and eigen vector courses are a bit hard to understand

автор: Kevin O

25 февр. 2021 г.

A good refresher with some really useful insights about eigenthings.


21 июля 2020 г.

Its is the best course to know about matrices and their applications

автор: Sharad K L

9 мар. 2020 г.

Exams were hard and most of the exams were source of the knowledge.

автор: JOSÉ M B D

25 янв. 2020 г.

excelente curso, me gustaría que se complementara con programación.

автор: sai v

14 авг. 2020 г.

Decent course. Wish things were explained in a more detailed way

автор: Ng Y Y

21 июня 2019 г.

Good overview and introduction to key concepts of linear algebra

автор: fatima s

18 июня 2020 г.

Wish it was a bit more spontaneous but overall great content!!

автор: Gautam K

7 мар. 2019 г.

Highly recommended course for beginners in Machine Learning.

автор: Mark R

3 янв. 2019 г.

Good grounding in the fundamental mathematics needed for ML

автор: Alagu P P G

18 июня 2020 г.

good start up for algebra enthusiasist.

a strong foundation

автор: Deleted A

23 апр. 2020 г.

I felt that lectures aren't enough to solve the exercises.

автор: celwang

23 мар. 2020 г.

good course ! but some of the formula should be more clear