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!
By Alexander H
•Jul 31, 2018
Highly informative course! Loved the depth of the material. Found this course content highly useful in my current project based on PCA.
By Shounak D
•Sep 15, 2018
Great course !
By Andrey
•Sep 17, 2018
Great course!
By 任杰文
•May 13, 2019
It's great, interesting and helpful.
By Gautham T
•Jun 16, 2019
excellent course by imperial
By Sriram R
•Jun 18, 2019
This is one of toughest course in this specialization. Having said that, it was interesting to learn about the inner working of the PCA and is well taught. At times it was tough to follow and could have been better if there are some additional examples explained to reinforce the concept. Also week 4 is kind of rushed with little or no time to fully appreciate the beauty of PCA.
By Rishabh A
•Jun 17, 2019
We need more elaborate explanation at few tricky places during the course.
By Hritik K S
•Jun 20, 2019
Maths is just like knowing myself very well!
By Abhishek M
•Jun 22, 2019
Very nice course. It will be great to have a course on Statistics for Machine learning covering advanced concepts in probability theory. Thank you for offering such a great course. I have learnt a lot and enjoyed fully.
By Jafed E
•Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
By Lia L
•May 22, 2019
This was really difficoult, but I'm so proud for the completion of the course.
By Gergo G
•May 15, 2019
This course is really challenging. A strong mathematical background is necessary or it needs to be developed during the lectures and self-study. The professor's explanations are clear, and still lead to complex ideas which is great. Programming assignments are also difficult, however they serve as a superb opportunity to develop your skills in Python.
By David
•May 29, 2019
This was indeed a very challenging course. It was also very rewarding, and I felt that the instruction was great and relevant to the assigned tasks. The first two courses in the specialization were very high quality, and in my opinion this one lives up to the expectations that they set.
By Arnab M
•Jun 03, 2019
A great course. Learnt a lot, a lot of Linear Algebra, Projections/ Geometry/ all of these Mathematical ideas would help greatly in understanding of Machine Learning concepts and applying them to real world data!!..
By Sujeet B
•Jul 21, 2019
Tough, but great!
By David N
•Jul 24, 2019
Great course
By Akshat S
•Jul 24, 2019
I will present my self with some amazing songs!!
Excellent staircase to the heaven for learning PCA.
Breaking the habit of struggling with hardcore bookish mathematics.
Loose yourself in this adventure!!
By Greg E
•Jul 27, 2019
I have thoroughly enjoyed every course of this specialization. Thank you very much.
By Samresh
•Aug 10, 2019
Nice Course.
By Mohamed H
•Aug 10, 2019
fantastic
By Krzysztof
•Aug 21, 2019
One of the most challenging course in my life - almost impossible without python and mathematics background.
By Keisuke F
•Sep 15, 2019
I had big fun of PCA
By Shahriyar R
•Sep 14, 2019
The hardest one but still useful, very informative neat concepts
By Lahiru D
•Sep 16, 2019
Great course. Assignments are tough and challenging.
By María J S G
•Aug 29, 2019
Very good 3 courses for those of us who are beginners in Machine Learning and IA! However I miss a whole course, perhaps the first one of then four, teaching us what we need to know about python, numpy and plotting.