SM
2020년 6월 14일
A very deep and comprehensive course for learning some of the core fundamentals of Machine Learning. Can get a bit frustrating at times because of numerous assignments :P but a fun thing overall :)
SS
2016년 10월 15일
Hats off to the team who put the course together! Prof Guestrin is a great teacher. The course gave me in-depth knowledge regarding classification and the math and intuition behind it. It was fun!
교육 기관: Gaurav K J
•2018년 5월 1일
I learnt a lot, but I feel course 2 was very well made and this one felt a bit unstructured in comparison. Also, assignments in this course were made very easy.
교육 기관: Justin K
•2016년 6월 10일
Assignments were a little too easy, considering that students are expected to have taken the first two courses in the specialization. Otherwise, great course!
교육 기관: Hao H
•2016년 6월 12일
Good course overall. Some difficult materials such as boosting were not clear enough and I had to look into a few online resources to really understand it.
교육 기관: 김대성
•2021년 3월 23일
Very nice lecture & materials. The only slight negative component this lecture contains is the library used for the programming assignment.
교육 기관: Fangzhe G
•2020년 2월 7일
This course could be better if more programming content was taught. The programming assignments are difficult and not taught in courses.
교육 기관: Brian B
•2016년 4월 22일
Great course. I'm really looking forward to learn more about clustering in the next course since I know nearly nothing about clustering.
교육 기관: Fahad S
•2018년 11월 3일
The content was excellent and the exercises were really good. It would be better if svms and bayesian classifiers are also covered
교육 기관: Aaron
•2020년 7월 3일
Nice course for new learner of machine learning, but I do hope this course could have introduction to support vector machine.
교육 기관: Alexis C
•2016년 9월 29일
wanted more sophisticated mathematics and intuition (as opposed to simpler explanations). [regression course had this ...]
교육 기관: Kishaan J
•2017년 7월 1일
Really loved this course! The insights into decision trees and precision-recall couldn't have been any better! Thank you!
교육 기관: Raisa M
•2017년 8월 19일
Wanted some stuff on SVM and Dimensionality Reduction. Awaiting for a course on Recommender Systems and Deep Learning
교육 기관: Ning A
•2016년 9월 16일
Learn more than just classification, but also learn how to understand the ideas behind classification algorithms.
교육 기관: Yingnan X
•2016년 4월 14일
A good course to start learning classifications and getting exposure to algorithms. The instructor is awesome!!
교육 기관: Oleg R
•2016년 10월 9일
I would prefer more complex assignments and more advanced math concepts in the course. Otherwise it is great.
교육 기관: Thrivikrama
•2016년 10월 12일
Good course.. Should have SVM related info too -- waiting for the promised optional videos from Prof. Carlos
교육 기관: Tomasz J
•2016년 4월 4일
Great course! However I put only 4 starts because I would like to see random forests which are not present.
교육 기관: Baubak G
•2018년 6월 10일
I think the course on boosting could be worked on better. But all in all I really enjoyed this course.
교육 기관: Simon C
•2020년 5월 1일
It's still a great course. But I think the quality of the regression one is better than this overall.
교육 기관: Scott A
•2021년 7월 19일
Class was inconsistent, it started very detailed and became over-simplified in the later weeks.
교육 기관: Srinivas C
•2018년 12월 2일
This course was really good and helped in understanding different techniques in Classification
교육 기관: Sapna A
•2021년 2월 2일
The course was awesome, especially with sentimental classification case explanation... Thanks
교육 기관: ZhangBoyu
•2018년 7월 20일
The lecturer speaks in a quite unclear manner, besides, everything is great and detailed.
교육 기관: shashank a
•2020년 6월 9일
Overall good, But it seems like same type of questions are repeated in assignment quiz
교육 기관: Rattaphon H
•2016년 8월 13일
The questions are hard to understand and ambiguous though their answers are easy.
교육 기관: Bruno G E
•2016년 4월 17일
Lack some of classical classification algorithms like SVM and Neural Netwroks.