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 Rachel Z•
6 de mar. de 2021
Excellent course overall. I really enjoyed the sessions taught by Sam Cooper. He explains concepts very clearly...great teacher.
por Prashant D•
16 de feb. de 2019
Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable
por Mason C•
21 de sep. de 2021
Great overall, but some of the teaching falls short of clarity, too much hand waving, and programming exercises can be obtuse.
por Kailash Y•
1 de jul. de 2020
This is a nice course for beginners, as it relies on intuition for the explanation. Also, this has very interesting exercises.
por Leong H•
13 de may. de 2020
it is pretty good for week1 to week4, but week5 and week6 are too complicated, I think the course should explain more details.
por Sachitha V S•
28 de oct. de 2020
course was great and interesting however some topics were need to explain more thoroughly little bit difficult to understand
por Stanislav B•
21 de abr. de 2021
Can be hard in some parts. But it's not instructors fault as they had to put a lot of material into relatively short course
por Daniel P•
22 de ago. de 2018
Interestin to refresh notions you already learned. Probably a bit difficult if you're totally new to multivariate calculus
por Mutairu o•
4 de dic. de 2021
This course is recommended for newbies willing to horn their knowledge for Artificial intelligence and Machine learning.
por Wendy N•
13 de may. de 2020
Sometimes I need more explanation, I needed to find another resources to clarify what I haven't understood at that time.
9 de jul. de 2019
Feedback on assessment could be improved, and there could be more practice questions relevant to the final assessments
por Jose V R•
4 de jun. de 2018
I think I've improve my understanding of mathematics for ML, mainly, I've understand much better the concepts involved
4 de may. de 2021
More focus on concrete data centric machine learning instead of abstract function definitions would have been helpful
por Arun I•
2 de mar. de 2019
Good course to understand the basic mathematics terms and a refresher for high school math with some technical terms.
por ADITYA K•
12 de may. de 2020
It is a beautifully designed course to get knowledge of how to apply various types of calculus to machine learning.
por Adam N•
12 de nov. de 2018
Very nice and concise, definitely review normal calculus and look up materials to get the most out of this course.
por Mohammad A K•
6 de jul. de 2020
good math course for learning derivatives, there could have been a better way to summarize and explain the course
por Rachel P•
28 de may. de 2020
An amazing course for beginners in Machine learning and brushing up your Mathematics skills at the same time.
por Manan S•
29 de may. de 2021
more on optimization techniques like in-depth concepts of gradient descent would have helped, rest was great
por Eileen Y•
17 de abr. de 2020
It seems that the lecture is not quite closely connected with the quiz, which may bring great confusion.
por Sharan S M•
9 de ene. de 2020
Great course If you want to learn Multivariate calculus. Teaches a lot of topics and is a bit rigorous
por Ilyes S•
4 de nov. de 2021
It is a great course But the English accent of the bald teacher is very difficult to understand
por AKASH C•
15 de jun. de 2020
this course is not for beginners but some good concepts are there which was needed for progress
por Olena K•
21 de may. de 2018
Not enough detail in the explanations and little to no instructor participation in the forums.
por Srinivas A•
25 de jul. de 2020
Topics are taught well for most part but there needs to be more help on answering questions.