2019년 8월 3일
Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.
2018년 11월 25일
Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.
교육 기관: Ankit C•
2020년 3월 28일
It gives you a good head-start to the math required in Machine learning. Some major concepts are touched just on the surface level but the mathematics involved in those concepts is explained quite well. Overall, it's good experience
교육 기관: sujith•
2018년 9월 16일
Very good course to start of with mutivariable calculus basics. Helps to refresh your memory if already familiar with concepts, additionally helps in getting fresher perspective because of geometrical intuition presented very well.
교육 기관: Switt K•
2020년 7월 27일
Good details, great at building intuitions. Instructors are pleasant to listen to :)
As expected, it's enough to get you going in the right direction, that if you want to know more, you'd have enough knowledge to build on from.
교육 기관: Γιώργος Κ•
2018년 9월 21일
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.
교육 기관: Jacqueline B•
2020년 4월 6일
up to week 5 , it was masterpiece.
week6 (although it should be the most important one) was a mess and disappointing.. as it was not explainable, i couldn't link what is happening with previous weeks.. require to be enhanced
교육 기관: Jae N•
2022년 5월 5일
This was a good course. The instructors kept me interested in a rather dry subject. The exercises were well designed. There are courses on Coursera which are not worth the time. This course is not one of those.
교육 기관: Izzan D•
2020년 3월 29일
The first 3 weeks is really good, the fourth week is okay but the last 2 weeks is kinda confusing. The explanation is quite clear but it is quite hard to grasp the intuition and relationship between each material.
교육 기관: Peiyuan C•
2018년 9월 29일
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.
교육 기관: Girisha D D S•
2018년 8월 26일
I thoroughly enjoyed this course. The materials were good and the course content was good enough to pass all the assignments and quizzes. This is way better than the linear algebra course in this specialization.
교육 기관: Igor C A d L•
2022년 4월 3일
All was great until weeks 5 and 6. For these weeks, there weren't enough explanations in order to really understand the subject. Some very important steps were simplified, which made understanding difficult.
교육 기관: mrinal•
2018년 6월 7일
i think some of concepts touched the surface and it was difficult to get a deep understanding .Probably the course could have provided some external links for those topics where people could read .
교육 기관: Ashish k•
2019년 7월 28일
Superb quality. The way instructors teach is really innovative. The course is good in terms of the area it covers but lacks depth, but is a good starting point if you want to dwell more in detail.
교육 기관: Keshav B•
2020년 7월 24일
Very informative refresher on the basics of differentiation, though some of the later topics could have been fleshed out more (i.e. Taylor Series, Lagrange Multipliers, etc). Overall very good.
교육 기관: Marcus V C A•
2022년 5월 18일
This course is good in general. But some parts, like the Lagrange Multipliers, needed better explanation and more exercise before testing. I also missed more supplementary material.
교육 기관: Kalpak S•
2020년 3월 8일
I wish, Linear Regression was taught with a little more clarity. Seemed like too many things were happening. Otherwise, a very good course. Really enjoyed the back-propagation week.
교육 기관: Xiao F•
2018년 4월 22일
the basic concepts are explained clearly, but the step of the lecture became more fast than the course of linear algebra. More detail proof and application of theory is expected.
교육 기관: Florian C•
2021년 5월 28일
The course starts off somewhat too basic for my taste but still gives a great intuition for some off the fundamental concepts underlying gradient descent and machine learning.
교육 기관: arnaud j•
2018년 5월 23일
The course is still a bit young, some errors appear here and there sometimes, and some parts of it are a bit steep.
Otherwise, this is a good course, focused on derivatives.
교육 기관: Prathamesh P C•
2020년 6월 25일
They should explain concepts in detail. They just explained really tough concepts in 5 min and gave much much harder assignments which was really frustrating at many times.
교육 기관: Andrew•
2020년 7월 7일
Practice makes about 65% of this course, 3Blue!Brown and Khan Academy are indispensable in this course too. The course is more like an overview than an in-depth study.
교육 기관: mayank d•
2019년 6월 10일
1.Week 5 should be taken in separate module dedicated to statistics.
2.The duration of course can be increased.
3. Week 3 and week 4 can be made more detailed
교육 기관: Dominik K•
2019년 10월 9일
Very good course but especially while approaching the end of the course some steps are being skipped or not explained entirely which can be a bit confusing
교육 기관: Venkatavishnu T•
2020년 10월 22일
This course is a good refresher, bringing all the important aspects and how it can be applied for machine learning also combining with linear algebra
교육 기관: Satpal S R•
2019년 1월 30일
This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.
교육 기관: Angelo O•
2018년 12월 5일
Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.