3 de ago de 2019
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.
25 de nov de 2018
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.
por Ankit C•
28 de mar de 2020
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
16 de set de 2018
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.
por Switt K•
27 de jul de 2020
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.
por Γιώργος Κ•
21 de set de 2018
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.
por Jacqueline B•
6 de abr de 2020
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
por Jae N•
5 de mai de 2022
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.
por Izzan D•
29 de mar de 2020
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.
por Peiyuan C•
29 de set de 2018
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.
por Girisha D D S•
26 de ago de 2018
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.
por Igor C A d L•
3 de abr de 2022
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.
7 de jun de 2018
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 .
por Ashish k•
28 de jul de 2019
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.
por Keshav B•
24 de jul de 2020
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.
por Marcus V C A•
18 de mai de 2022
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.
por Kalpak S•
8 de mar de 2020
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.
por Xiao F•
22 de abr de 2018
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.
por Florian C•
28 de mai de 2021
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.
por arnaud j•
23 de mai de 2018
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.
por Prathamesh P C•
25 de jun de 2020
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.
7 de jul de 2020
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.
por mayank d•
10 de jun de 2019
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
por Dominik K•
9 de out de 2019
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
por Venkatavishnu T•
22 de out de 2020
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
por Satpal S R•
30 de jan de 2019
This was a great course for learning multivariate calculus required for Machine Learning. I am thankful to the creators of this awesome course.
por Angelo O•
5 de dez de 2018
Nice refresher! Excellent instructors! Not recommended as a first Multivariate Calculus course though. I would go for MIT OpenCourseware first.