インペリアル・カレッジ・ロンドン（Imperial College London） による Mathematics for Machine Learning: Multivariate Calculus の受講者のレビューおよびフィードバック

Fantastic

Muy adecuado si estamos interesados en introducirnos en el mundo de los algoritmos usados en inteligencia artificial y machine learning

Efficient tutors who were able to inculcate interest in me towards finding out the roots of machine learning algorithms.

It's really great course who want to study gradient decent using multivariate calculus from the ground up.

The most fundamental course on Machine Learning that I have done so far!

Excellent.

Excellent course on multivariate calculus and application of calculus in Machine Learning. Loved the assignments and the programming ones.

This course was super hard but worth it...

Its good.

great content, but the grader software needs some improvement

Well the course is generally good, the only problem is that David sometimes may just skip the process and lack more explanation when performing the calculation, it's easy to lose track of what he is calculating if not reviewing the video over and over again, but anyway, the whole class is worth recommendation, thank you for your teaching, professors

Good grounding in fundermental material needed for ML

Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable

Good course to understand the basic mathematics terms and a refresher for high school math with some technical terms.

The course accomplishes its goal of connecting concepts in calculus to machine learning, and is appropriately paced for students who have covered calculus in the past and are seeking a refresher or deeper understanding of its applications to real-world problems. For those who don't already have a certain minimum familiarity with the mathematics, however, the course will probably move at too fast a pace.

This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.

Very helpful to review and get introduced to mathematical concepts behind machine learning. There is a fair bit of practical exercises as well. The only thing I am less happy about this cousre was a lack of additional suporting materials and references to other resources to help gain more knowledge on the subject.

Really good course, would recommend! 4 Stars, because there is no written transcript with the Formula and examples in the videos available.

Really good for fundamentals, the assignments were too easy though

hopefully it is useful

I think Samuel Cooper is an amazing instructor. However, the last two weeks taught by David Dye were very difficult to follow. I think David should improve his explanations because I did not enjoy too much his course on linear algebra, and this course was great until he started with the last two weeks.

Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.

Lack of support from the staff. Some parts/lectures are not clearly explained (for example, constrained optimization) and some quiz questions are not directly related to the course content. Otherwise, it's a very good course.

It was a good course compared to other two courses of this specialization.

Along with the advanced and popular technique, this course gives me impressive insight over how machine learning works. But it would be much better if the concept in linear algebra combines more with this course.