I am sorry to point this out but this is course is my most frustrating Coursera expierience until now. The content is quite high level and requires a quite solid mathematical background. Unfortunately the lecturer's language and presentation capabilities are so poor that I found it really hard and sometimes impossible to follow the content.

This course is a great example, why people fail in math.

The teacher babbles stuff, which may sound simple for someone, who has studied the language of math extensively - yet he is talking to an audience, which didn't do.

The necessary vocabularies he introduces quickly in the "it's trivial" manner, which gave math professors already a bad reputation in university.

That combined with a strong accent and an uneasy way of talking, creates a very unpleasant experience.

I cannot even tell, if the material is difficult - I only can tell, that the teacher does a REALLY bad job teaching it.

very poor presentation

Atrocious experience with the answers parser in the mandatory quizzes.

Sometimes it's hard to understand lecturer due to poor English (a lot of "Basically..." or "That's kind of nice.." is really annoying).

I found out the material is good but unfortunately the instructor often gives really bad explanation which bring me to somewhat lost during the course. But this course covers essential calculus that people need

its very hard to follow his lectures as well as his writeups and also its very difficult to understand his way of teaching and language.

Professor is almost inarticulate and the initial class reeks of hucksterism.

Explanations of the topics are not always clear, but sometimes they are. I think the teacher could do it better in respect to the explanations of the topics. This topic is important to understand optimization for data science and it would be nice to get more help in forums because most of the time questions take a lot to be answered. Last project was interesting because of the experiment.

The concepts are not explained clearly. The instructors English is too bad and its too hard to understand.

its very frustrating.

good course and lecturer.

it is nightmarish that there are no more his courses currently.I'll be waiting for his new courses.

good contents.

but somewhat challenging(especially for last programming assignment)

good peers(hints from forum is not a direct answer but very useful)

A really good course for refreshing basic math and understanding the reason why Gradient Descent is used

The system does not take correct answers due to not being written in a certain way, which confuses and makes that we spent a lot of time repeating the exams. The final project requires some knowledge of python and the guide is a bit confusing, so you need to support yourself from the forum.

Many of the subjects were not presented as clear as some of the subjects, in other courses for the same specialization

Informative but approach employed to teach material was somewhat abstract.

This course has a lot of overhead. That is, it's too hard and time-consuming for what you learn.

For starters, it requires a refresher in algebra and trigonometry, e.g. quadratic equations, trigonometric identities, etc. since they are used extensively and the instructor just glosses over that.

The material is not always presented clearly. For example, after presenting a concept and the theory, instead of starting with a simple example and building from it, the instructor sometimes jumps directly into a rather complex one, and obviates some of the steps. The course has a lot of quizzes that require a lot of grunt work, and do not always help to solidify the understanding of the material. I found myself using other sources just to be able to really understand the material and pass the quizzes.

The final assignment on gradient descent is interesting, but again, there are a lot of details left out that require you to sift through the forum to understand.

Overall, if you are taking this class to get the certificate, it's doable and you will learn. But if you just need a multivariate calculus refresher for ML, there are more efficient ways to achieve that.

lectures were little off but concept wise it was good though it could be better

It was great to deal with this course as it helped me in gaining a much and important details and knowledge behind ML. Thanks a lot!

An excellent course to help refresh the fundamental coverage of calculus needed for machine learning!

This course doesn't give you all the details, but makes you work hard enough to figure it all. 4.5/5

Great introductory course for Fundamentals of Mathematics for Data Science

Thanks for this curse, now I can deeply understand maching learning

Good introduction, effective as a refresher.

Very Nice Environment and teaching style.

excellent .