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

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11,336 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

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.

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.

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1576 - 1600 von 2,242 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von Arka G

•

12. Juli 2020

Excellent

von Deleted A

•

8. Juli 2020

Very Good

von Ms. M S

•

29. Juni 2020

Very good

von SARAN S V

•

15. Mai 2020

Thank You

von Ishwaragouda P

•

12. Mai 2020

Very nice

von B L P

•

2. Mai 2020

very nice

von M H S S G B

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29. Apr. 2020

Excellent

von JENNY J M

•

14. Apr. 2020

Very good

von Trinh Q A

•

16. März 2020

very well

von Sreeprakash N

•

10. Nov. 2019

Very good

von Prabal G

•

10. Okt. 2019

very good

von Jorge H L B

•

7. Okt. 2019

Excelente

von Greg H

•

18. Juni 2019

Very Good

von Sasikumar G

•

23. Mai 2019

Excellent

von Colin W

•

15. Mai 2019

Excellent

von Xinya X

•

13. März 2019

I like it

von DIVYANSH S

•

4. Feb. 2019

excellent

von Edward K

•

17. Sep. 2018

very nice

von 海鹿

•

16. März 2018

excellent

von Sukhvir S

•

23. Aug. 2020

NIce One

von HALIKHEDE S S

•

19. Aug. 2020

best one

von Isaac M M

•

24. Juli 2020

Excelent

von Yoshiaki K

•

9. Juni 2020

Awesome!

von MOHAMMED F R

•

29. Mai 2020

its good

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