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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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10,701 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

EC

9. Sep. 2019

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.

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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1826 - 1850 von 2,137 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von Dr. H K L

5. Mai 2020

it is good, and very use full to any one, if those are in teaching field as a mathematics teacher

von Ajay R

11. Sep. 2019

Tough course, but got better understanding of topics related to math behind real-world ML models.

von Ahmed O H

29. Jan. 2020

It's not perfect, but I hope if the last of the specialization is more practicable and flexible.

von Sudeep P

2. Juni 2020

I am really happy with the course as it helped me to understand the core concept of algortihms.

von Hamza F

24. März 2020

A well constructed course that can address students coming from different academic backgrounds.

von Marwa A E K

18. Okt. 2019

I learned and developed intuition of the concepts covered in this course, which I'm happy with.

von Berkay E

26. Juli 2019

Some of the concepts are unclear. You need to make extra research to understand whole concepts.

von Liang Y

16. Apr. 2019

Very good I learn a lot though I get confused in Week 4 about E @ TE @ inv(E). Thank you profs!

von Vinayaka R K

15. Aug. 2020

The eigwn vector parts could've been much much better, rest apart assignments were really good

von Mohamed A A

23. Juni 2020

very good for beginners who want to understand what happens in machine learning under the hood

von Md. M I

3. Mai 2020

A little more assignments might be good towards the end. Otherwise, it is an excellent course.

von Alexander D K

21. Aug. 2019

Fairly good introductory course but not a substitution for a proper LA course for ML purposes.

von MIGUEL A G H

27. Dez. 2020

Very usefull to deep in the mathematical foundations of machine learning. Very recommendable.

von Andrew X

2. Nov. 2020

In week 5, some practice questions seems a little irrelevant to the key mathematical concepts

von Aditya G

2. Sep. 2019

The course is really nice. A bit of programming experience is needed to complete this course.

von Nishant A

4. Juni 2018

Brilliant brush up course. Could have had a little more about eigen vectors and eigen values

von bowman

24. Juli 2020

it's an execlent course, but week5 should be extend to make it clear and easy to understand

von Utkarsh L

15. Mai 2020

Some video lectures should be there which will give some ideas about how to do programming.

von George P

12. Apr. 2020

Excellent course as a refresher if you've studied Physics and need to recover the content

von Peeyush S K

20. Nov. 2021

Teaching Style and the Teaching Aids were very effective. Personally I liked the course.

von Elnur M

8. Apr. 2020

I think it would be better if you add Singular Value Decomposition concept into syllabus

von Hayder M A

25. Apr. 2020

Very useful materials and the instructors are very good and make it easy to understand.

von parikshit s

16. Feb. 2020

Really Good course, learnt a lot of things, just wanted this course to be in more depth

von Antoine P

20. Jan. 2021

Really intersting. Could be a bit difficult for people without mathematical background

von akhil

31. Mai 2020

Sam part wasn't so impressive. Really loved the way David has gone through the course.