12 de nov. de 2018
Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.
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.
por Kirill N•
16 de ago. de 2020
Weeks 1-3 (4) were pretty nice; weeks 5 and 6 were terrible. The harder the topics, the less explanation was given, the pacing by the end was atrocious and course delves into statistical topics while it probably could've dedicated these weeks to other relevant topics.
por Khang V P•
22 de sep. de 2021
The last 2 modules have very promising content, yet the instructor did not do well enough. I found myself totally lost in the confusing explanation of David, although I've already have experience in Multivar Calc and take this course just as a refresher.
por Yi Z•
3 de ago. de 2018
Such a easy course, if you totally a novice in multi-variables calculus, you could take this course, Whereas, if you are familiar with calculus, it will be quite easy for you.
I hope more programming assignment about Machine Learning
9 de nov. de 2021
the connection seemed poor between weekly targets. it was super easy at first and became very difficult at last, honestly i do not think this is designed for students with no relavant foundations in math or machine learning.
por Rob E•
11 de ago. de 2020
The instructor for this course actually tried to explain the concepts, unlike the other two courses in this specialization. However, no one is available to answer questions.
por Shivam K•
30 de jun. de 2020
I feel that the course was too fast paced. I had to constantly refer to many other website like khan academy and 3b1b. The course skipped many details and lacked intuition.
por pranshu s•
17 de oct. de 2020
You will get some intuition of mathematics used in Machine Learning as well as there will be less fear in doing ML courses if you would complete this course.
por Alfred S•
13 de ene. de 2019
Course would be prefect if there would not be technical issues with opening notebooks. It slows me down by 1 week. But content was really relevant to ML.
por kumar s•
9 de ago. de 2020
Overall average course. Not that much good as expected because of David Dye. He was teaching very poor in this course as compared to course-1.
por TirupathiRao p•
21 de may. de 2020
Last 2 weeks completely diverged. Failed to converge. I wish content was more elaborate.First course of this specialization was far better.
por MAYANK G•
4 de jul. de 2018
Role of discussion forum is very less. Please improve on that to have healthy participation. Otherwise, course content is really good.
por Kamoliddin N•
7 de dic. de 2019
first 4 weeks were good. Starting from week 5 course explanation was bad. Was required to watch other videos.
por Lieu Z H•
18 de nov. de 2019
Lecture videos are quite sparse, and the quizzes test things that they don't teach you in the lecture
por Saurabh M•
29 de sep. de 2020
A bit fast paced, could be much more beneficial with some added explanations.
por Lee j•
23 de may. de 2019
Too fast to understand what instructors says.. but lecture contents are good
por Erwin M•
28 de abr. de 2021
The basics is explained so light, that you wonder if it is of any use.
por Akeel A•
29 de ago. de 2020
It was a lot of fun at points. Would recommend to anyone else.
por Gurrapu N•
7 de abr. de 2020
Strong disconnect between teaching videos and assignments.
13 de abr. de 2020
Course would enhanced if pdf's of lectures were provided.
por Alkis G•
14 de jul. de 2019
There is a decent space for course improvement.
23 de jun. de 2019
week 6 content is not clear at least for me .
por Ahmad A•
22 de feb. de 2021
Too many Assignments and Quizzes to pass
por Yusuf T•
28 de jul. de 2021
Need to focus more on the details.
por สิทธิพร แ•
12 de jun. de 2020
Week 5 and 6 Lecture quite poor
por Leigh F•
29 de may. de 2019
Concepts not clearly explained.