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