6 de jul. de 2021
Now i feel confident about pursuing machine learning courses in the future as I have learned most of the mathematics which will be helpful in building the base for machine learning, data science.
16 de jul. de 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.
por Gautam K•
24 de jun. de 2020
Course content is very awesome. The instructor also teaches in a very splendid manner which makes it very easily understandable. But the evaluation method for practice exercise is very worse. Code get stuck for hours. It's been very frustrating waiting for code to get compiled.
por arnaud j•
12 de jun. de 2018
This course is way more brutal than the two previous courses in the specializationIt is also very mathematically oriented, it lacks the graphics / animation / intuition that was given in the first two courses.However, if you make it, you indeed have a good understanding of PCA.
por Philipp A R•
6 de mar. de 2020
A lot of input in relatively short time, main points could be pointed out better in the videos. Assignments were tough but manageable, the instructions could be clearer and more detailed. However, being pushed to figure out things by yourself is also a learning opportunity.
por Xin W•
12 de nov. de 2019
To me, the first 3 weeks in this course is good. But the 4th week is quite confusing. And I don't understand the applicable meaning for the materials in the 4th week. I may need to review what I learned in the 4th week and then decide whether I understand it completely.
por Manju S•
29 de ene. de 2019
Instructor has good knowledge of the subject. The course content structure is designed well.
Concepts could have been presented with more clarity. Programming assignments need more instructions and less assumption on what the students already know.
por Gabriel C•
24 de abr. de 2020
Quality of the course is great, but I would question whether it belongs in this specialization given the huge jump in expected knowledge from the first two courses to this one. Relied alot on the forums and YouTube to gain sufficient knowledge to complete this course.
por Ashish P•
21 de oct. de 2020
Instructor has done lot of hard work. However, the course is little rigorous. If it is possible, I request the team to upload few more videos for this module. Nevertheless, thank you so much. I have still learned a lot from this course.
por helen l•
27 de abr. de 2020
The content is decent but there are some bugs in the programming assignments. Particularly the last two programming assignments. The auto-grader for the second to the last assignment passes in some input that is not of the correct form.
por V K•
23 de jul. de 2020
The course content was very good,but the assignments were harder as knowledge of python libraries was required. It would be very helpful if you change the assignments as I feel the course should rather be about math than python
10 de abr. de 2020
Positive points: At the end of the module, you get a good understanding on how PCA works. It fulfill its objective.
Negative points: The assignements are poorly directed, the material is not always clearly explained.
por Alexander Z•
14 de sep. de 2018
Good Course, but
Too less examples to do the quizes on the first run.
Programming assignments are not clearly stated, so you need unnecessary much time to succeed.
I liked the Linear Algebra & Multivariate Modul more!
por devansh v•
3 de abr. de 2020
The course is Satisfactory.The content is Good,no doubt about it,but many topics(both mathematical and computational) were unknown and coding assignments of Jupyter notebooks of this course(PCA) are very Buggy
25 de ago. de 2020
Kinda complicated but doable. The stuff do not monitor the discussion forums unfortunately. Without Susan's detailed & well informative replies I won't be able to complete the course. Big THANK YOU to Susan.
por Marina P•
6 de sep. de 2019
The course is interesting, but some of the quizzes were not done very well. After the first 2 parts of this course, which were just amazing, this one seems kind of worse, although by itself its not that bad.
por Ahmed A•
19 de jun. de 2022
They need to slow down while explaining concepts. The instructor assumes the viewers know each and every step. The other two Mathematics for Machine Learning courses were much better compared to this.
por Deleted A•
5 de ene. de 2021
I was expecting this course to connect with the previous two but it turned out to be self contained. Jupyter notebooks contain inconsistent comments and assignment steps. Certain tasks were not clear.
por Rosanna H•
1 de abr. de 2021
The jump in difficulty for the final two modules was too hard going from the previous two courses in my opinion. also I would have liked more practical examples rather than being directed to reading.
por Chad K•
8 de jul. de 2020
Difficult course. They need more formal tutorials to help with the gap between the videos and the tests and projects. I found it very helpful to buy the instructor's textbook and read along in it.
por Cécile L•
14 de abr. de 2019
Amazing topic, great teachers and nice videos, but assignments can be slightly frustrating and some aspects (matrix calculus, derivatives, etc.) are really expedited... Still worth your time!!!
por Nicholas K•
27 de abr. de 2018
It's a shame. There's lots of good material and I learned a lot. But a staggering amount of time was wasted figuring out gaps in the instructions - portions felt more like hazing than teaching.
2 de dic. de 2020
Instructor made a good attempt to cover these complex topic. However, these topics should be supported with more examples and also provide more intuitive examples as in previous 2 courses.
por Adrian C•
22 de sep. de 2019
The derivatiion of the PCA in the last week can be broken into 2 weeks with different programming assignments to get a closer and more confident understanding of the PCA method.
por Jean D D S•
31 de ago. de 2019
I would ask the lecturer to go on more detail on the explanations and do (more) examples.
The lecturer tends to skip a few steps during calculations and demonstrations.
por David N•
5 de may. de 2021
Difficult course even having completed the two courses that precede it. Some concepts introduced here as assumed knowledge that were not covered in the prior courses.
por Dom D•
21 de jul. de 2020
The week 2 code was more difficult than the other weeks. The forums are no longer attended by the professors. The access to materials from IC is great.