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

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10,702 Bewertungen
2,126 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....

Top-Bewertungen

CS

31. März 2018

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.

PL

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.

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1901 - 1925 von 2,138 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von adam m

12. Feb. 2019

reasonably well constructed and presented material

von Abhishek J

19. Apr. 2020

Good Course, Best Videos, Excellent Understanding

von Manish C

16. Apr. 2020

well made course for machine learning foundation

von Tasfiq R

29. Juni 2020

Great course.Animation can be addes for pagerank

von Kasidit ( R

21. März 2019

Great way to build foundation in Linear Algebra

von Jay S S

27. Juli 2020

Fast paced interesting course. Lots to learn!

von Uri M

29. Sep. 2020

Pretty nice hands on linear algebra course

von 何霄

23. Feb. 2020

clearly explain all the key concepts in la

von Ratnakar M

1. Juni 2018

Very engaging course and right on spot!!!

von Andres O

25. Mai 2018

Very good linear algebra intro/refresher

von Paul M D C B

2. Nov. 2020

Too technical but relevant nonetheless

von Manikanta G

22. Aug. 2020

it's worth taking to revise the topics

von Richard P

15. Juli 2020

Great knowledge at an affordable price

von Salah E

30. Juni 2020

it is very hard course yet very useful

von Nirmala R

3. Juni 2020

Week 5 was bit difficult to comprehend

von Ritwik M

17. Mai 2020

Prof. Sam is a bit hard to understand.

von danthedoubleD

22. Feb. 2019

good stuff hopefully, i will be useful

von Annamma A

30. Nov. 2020

Help with programming should be given

von Earneet

8. Juli 2019

i don't know , just finish it so soon

von e u

9. Aug. 2020

a little bit hard for a beginner lol

von Kareem B

18. Mai 2020

Veru useful Course in Linear Algebra

von Ariel E

10. Sep. 2020

All topics are taught very clearly!

von Aditya R

22. Juli 2018

Really it was a very nice course .

von Dalila

6. Sep. 2020

Week 4 topics were a bit confusing

von SIMONOT M

29. März 2019

Clear and interesting. Thank you.