Chevron Left
Zurück zu Mathematics for Machine Learning: Linear Algebra

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

11,438 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....



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


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.

Filtern nach:

1901 - 1925 von 2,266 Bewertungen für Mathematics for Machine Learning: Linear Algebra

von Jordin W

14. Jan. 2020

Fantastic course. My favourite delivery of Linear Algebra thus far. Both Sam and David were a joy to learn from.

von Unfunny C

21. Dez. 2019

The course is very comprehensive and yet is very focused towards actual application of LA in Data Science and ML

von Walter S

9. Feb. 2021

Very good course overall. I would have liked more explanation on the exercises and more time working on python.

von Varun T

6. Nov. 2022

A good quick introduction for people who already know the concepts but need refresher to get back on the feet.

von Ahmad H Z

21. Mai 2022

Gives you an overview of how linear algebra can be applied to solve real world problems. I liked it very much.

von Saurabh G

7. Nov. 2019

This is one of the most important courses for someone who wants to build career in the machine learning field.

von Shriniwas S U

10. Mai 2020

Good course but Instructor should provide some lectures on python programing which is related to assignments.

von Rodney N d S

31. Aug. 2018

This course is short, you can conclude it in a month, but you will learn a lot with the assignments in Python

von tao t

23. März 2022

love it. However, it went a bit fast and I wish the parts of eigen stuffs had been slower and more detailed.

von Chakola P J

23. Aug. 2020

The course provided a good insight into some of the essential concepts with respect to vectors and matrices!

von Ronast S

18. Jan. 2020

This course provides basic insights about vectors and matrices and their analysis in multidimensional space.

von FIGL

4. Juni 2022

Mostly interesting although teacher tend to contradict himself or skip important partts of the explanation.

von Helena R

15. Feb. 2022

Course re-engineered my Lin Algebra skills. Rather challenging portions at times, But I learned patience.

von Patricio A R

3. Aug. 2020

Permite ver claramente lo que potencialmente se puede lograr con la aplicación de los conceptos aprendidos.

von Diego C

4. Juli 2020

This course is a very good opportunity to introduce to the main concepts of linear algebra for data science

von Jorge L C T

21. Aug. 2021

I recommend it for whom to are beginners, nice course to start programming in python using numpy library

von Meixin Z

10. Dez. 2018

the content of this course is really clear, but the assignment system about program needs to be improved.

von Shubham K

31. Aug. 2019

The course is great with really good teaching community , as a beginner it was a really good experience.

von Akwila F

10. Sep. 2020

Perfect for anyone who wants to take specialization but not recommended for beginners in linear algebra

von José D

15. Sep. 2018

Good video & subtitles for non-english speaker, practical examples, good introduction to linear algebra

von Mario H

20. März 2022

the clarity in eigen section is not really good IMO, but overall the course is good and understandable

von Stylianos V

26. Juli 2020

Very good course for an introduction in linear algebra with many useful concepts for machine learning

von Harry L

8. Apr. 2020

Excellent syllabus and lectures. However, a detail explanation of each practice quiz should be given.

von Prashant D

16. Feb. 2019

Good explanation. Some of the exercises and quizzes need a deeper understanding of the course content

von Alvaro I S

22. Mai 2018

Great course! I have learned about linear algebra, some geometry, and a bit of programming in Python.