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

4.7
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10,871 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 2,180 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von Aditya S

•

6. Dez. 2019

awesome

von Bhavya G

•

20. Juli 2019

Amazing

von Sheikh N I

•

2. Juli 2018

Thanks!

von Hoang D

•

27. Dez. 2021

useful

von mochammad g r

•

3. März 2021

Thanks

von 龚古铮

•

2. Feb. 2021

Great!

von Thanh L P

•

6. Aug. 2020

Great!

von Rehab A

•

4. Juli 2020

thanks

von Flt L G R

•

26. Mai 2020

THANKS

von Shijing C

•

27. März 2019

useful

von János G

•

10. Feb. 2019

Superb

von Muhammad N I

•

25. März 2022

great

von Syeka B P M

•

21. März 2022

great

von Lisa A

•

2. März 2021

Great

von Alex S

•

27. Jan. 2021

nice！

von Olzhas E

•

9. Dez. 2020

хз хз

von Prabal G

•

13. Okt. 2020

great

von Md. R Q S

•

20. Aug. 2020

great

von Syed s A

•

13. Juli 2020

Nice!

von shobit G

•

7. Nov. 2018

good!

von Elkin A V S

•

14. Apr. 2022

good

von Doni S

•

27. März 2022

Good

von Quế A

•

24. Juli 2021

nice

von 안병수

•

16. Juli 2021

good

von 지홍근

•

2. Apr. 2021

good

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