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!
par Ramon M T•
Oct 23, 2019
I liked the course quite a bit. I found it quite challenging (I had never seen any PCA) but it always kept me very interested. I had to use several sources to read a little more about PCA and to complete the last exercises, the forum is very helpful.
par Xavier B S•
Apr 05, 2018
Excellent course - challenging yet rewarding with good feedback from the teaching staff.
The video and the transparent white board are also great - look forward to seeing more MOOCs from Imperial as well as the release of the upcoming book
par 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
Jul 18, 2018
This one is harder, I took longer time to figure out the assignments. Some of the concept that appeared in the assignments were not included in the lectures. I do hope that the assignments could have clearer instructions.
par 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.
par 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.
par 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!!..
par Krishna K M•
Jun 24, 2019
I am not sure why the rating is so low for this course.
Personally, I found this course really insightful as the instructor explains what the different statistical measurements mean, and why are they useful.
par 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!!
par Aleksey A•
Feb 15, 2020
Challenging, but doable. Has some bugs in coding assignments, but clearing them out makes you understand things better. Get ready to spend extra time understanding the concepts.
par Christian H•
Dec 28, 2019
This course is well worth the time. I have a better understanding of one of the most foundational and biologically plausible machine learning algorithms used today! Love it.
par Tse-Yu L•
Mar 14, 2018
Practices and quiz are designed well while I will suggest to put more hints on programming parts, e.g., PCA. Overall, this series of course are pretty useful for beginner.
par Miguel Q•
Feb 21, 2020
This is the best course of the specialization, its very hard but it lets you to understand very important concepts of what means dimensionality reduccion.
par Aymeric N•
Nov 25, 2018
This course demystifies the Principal Components Analysis through practical implementation. It gives me solid foundations for learning further data science techniques.
par XL T•
Apr 04, 2020
It is a bit difficult and jumpy. You will need some hard work to fill in the missing links of knowledge which not explicite on the lectrue. Overall, great experience.
par S J•
May 03, 2020
Your Teaching and Video quality is par excellence.....Thanks a lot for such amazing stuff...I am looking forward to joining more courses in the same line
par Christine D•
Apr 14, 2018
I found this course really excellent. Very clear explanations with very hepful illustrations.
I was looking for course on PCA, thank you for this one
par Ananta M•
Apr 20, 2020
Although the course was little out there and the instructor was trying his best to articulate a difficult topic, the overall experience is great.
par Prime S•
Jun 24, 2018
Nicely explained. Could be further improved by adding some noted or sources of derivation of some expressions, like references to matrix calculus
par J A M•
Mar 21, 2019
Solid conceptual explanations of PCA make this course stand out. The thorough review of this content is a must for any serious data researcher.
par Moez B•
Nov 25, 2019
Excellent course. The fourth week material is the hardest for folks not comfortable with linear algebra and vectorization in numpy and scipy.
par Hasan A•
Dec 31, 2018
What a great opportunity this course offers to learn from the best in this simplified manner. Thank you Coursera and Imperial College London!
par 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.
par Jason N•
Feb 20, 2020
A lot of reading beyond the video lectures was required for me and some explanations could be more clear. Overall, a great course.
par UMAR T•
Mar 10, 2020
Excellent course it helps you understanding about linear algebra programming into real world examples by programming in python.