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Bewertung und Feedback des Lernenden für Mathematics for Machine Learning: Linear Algebra von Imperial College London

11,458 Bewertungen

Über den Kurs

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....



25. Aug. 2018

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.


8. Aug. 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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1876 - 1900 von 2,269 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von Gurbaaz S G

13. Mai 2021

The course was informative and helpful. it helped me bring back concepts that I had forgot and also taught me a bit about python.

von Alex W

8. Juli 2019

Basic knowledge about machine learning, but very useful, maybe this course should be tagged as higher level, instead of beginner.

von Valeria

26. Juni 2018

I really enjoyed how much graphical explanation there was here. It finally starts making sense why we use matrices and vectors.

von Mobarak H S

13. Apr. 2020

The quiz challenge was good for me to better understand this course. And the length of video enough short to not to feel bore.

von Ahmad A A D

11. Nov. 2020

this course is good for giving introduction, but for depth understanding you should accompany with another resource materials

von Joanna M

6. Apr. 2021

Great course, but there are some bugs in automatic assignment grading, and the instructors are not responsive on the forums.

von Sherina M

11. März 2021

The difficulty of the problem in the quiz and the example in the video is too far, the problem in the quiz is so much harder

von Jayaram O

14. Juni 2020

Important concepts of Linear Algebra for ML explained in a beautiful multi-dimensional method including theory and practice.

von Dharv P

22. Juli 2020

Very Good Course, You will learn linear algebra in this course and most loved part of course for me is pagerank assignment.

von Peter S

8. Okt. 2020

A good course with some significant leaps in competence required for those of us with a social science/business background

von Kartikeya S

2. Juni 2020

Course was nice,but if you provide more example of real world usage of Linear Algebra in Machine Learning it would be nice

von Rahul B

22. Apr. 2020

This was course made my intuition for underlying mathematics when using machine learning much more stronger and efficient.

von Muhammad E

8. Aug. 2020

the course is a bit challenging i would recommend that you better get yourself familiar with basic linear algebra first

von Sudhir N

31. Mai 2019

Good refresher for basic concepts learnt in the University ages ago. WOuld like to have more real life Business examples

von jiang y

15. Aug. 2020

this is a very nice and useful lesson.

but sometime I need to search for more knowledge to help me finished my home work

von Dhruv A

31. Juli 2020

Brilliantly conducted. Provides a great introduction to linear algebra allowing the learner to start diving in further.

von Daniel T

18. Juni 2019

It would be better if it had lecture notes. Reviewing the material and writing it down requires rewatching the lectures

von Robert S

18. Aug. 2018

The linear algebra was taught in an easy to understand manor but the applications in machine learning were quite sparse

von Marcos G A

7. Juli 2020

Should share additional videos (like links to khan academy if the student needs to learn more or wants to get deeper).

von Weiyu G

12. Aug. 2019

It is really intuitive and good for people who have little idea of Linear Algebra. The best part is the PageRank Algo.

von James H

24. Mai 2018

Programming assignments failed to save and submit sometimes. But the course itself was well taught and at a good pace

von Alex S

8. Aug. 2018

The instructors are very good in delivering the course content..However, more reading resources should be provided.

von Isaac N

18. Apr. 2018

Provides a good understanding of Linear Algebra for Machine Learning. However, it is a little lacking in exercises.

von Rishabh D

15. März 2020

There were some problems with the notebooks used in the assignments but apart from that this course was brilliant.


9. Mai 2020

Achei que haveria uma pequena introdução ou explicação de como seria usado esse conhecimento em Machine Learning.