Jul 17, 2018
This is one hell of an inspiring course that demystified the difficult concepts and math behind PCA. Excellent instructors in imparting the these knowledge with easy-to-understand illustrations.
May 01, 2018
This course was definitely a bit more complex, not so much in assignments but in the core concepts handled, than the others in the specialisation. Overall, it was fun to do this course!
por k vinay kumar•
Nov 30, 2018
its a good course to learn mathematics essential for machine learning
por Aymeric Nguyen•
Nov 25, 2018
This course demystifies the Principal Components Analysis through practical implementation. It gives me solid foundations for learning further data science techniques.
por Brock Imel•
Nov 21, 2018
Way too hard compared to the other courses in the specialization. I feel like I wasted my money on this.
Nov 01, 2018
por José Delfosse•
Oct 31, 2018
This course is harder that the the two first ones. You have to do a lot more by yourself. There will be some frustrations with assignments that are not always easy or clear, with confusing python/numpy notations not really introduced during the course. Also, most assignment didn't work online, so I had to install python3 and jupyter to work on them locally and submit them manually. You should expect to spend more time than announced. All in all, I've learned new things and that's the most important. I believe there are room for improvement for this course.
por Jichen Wu•
Oct 27, 2018
Explanation of course material is not clear
Oct 23, 2018
The instruction is absolutely bad and not worth it. However, if you have patience to re-watch, refer to other supporting materials, learn on your own a lot and then have patience to deal with programming asssignments ,...then you might find the final result useful.
por Martin Belder•
Oct 22, 2018
Overall: worthwhile content, but poor execution. Especially assignments need improvement.
-The contents tend to be worthwhile.
-The instructor is thorough and clear.
Bad Points :
-To those who are not as familiar with mathematical terminology the instructor is a tough act to follow sometimes.
-The great disappointment of this course lies in the assignments. They don't really add to my understanding of the mathematics involved, and are quite often a distraction because the assignments are quite inflexible in terms of coding: you'll have to stick quite close to what the instructor envisions, or you will fail. This is especially frustrating because you will have a hard time figuring out whether you failed because your code was faulty or because your conceptual understanding was faulty.
por Nguyen Duy Phuong•
Oct 17, 2018
That's a great online courses can help people have enough background to break into Machine Learning or Data science
por Wei Xie•
Oct 16, 2018
concise and to the point. Might want to introduce a bit the technique of Lagrangin multiplier