Bewertung und Feedback des Lernenden für Mathematics for Machine Learning: Linear Algebra von Imperial College London
Über den Kurs
Top-Bewertungen
HE
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
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.
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.
Coursera Footer
