Oct 16, 2016
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!
Jan 25, 2017
Very impressive course, I would recommend taking course 1 and 2 in this specialization first since they skip over some things in this course that they have explained thoroughly in those courses
By Tomasz J•
Apr 04, 2016
Great course! However I put only 4 starts because I would like to see random forests which are not present.
Oct 12, 2016
Good course.. Should have SVM related info too -- waiting for the promised optional videos from Prof. Carlos
By João F A d S•
Apr 18, 2016
Very good content, very well explained... great course. Classification its a very broad topic but i think this is great introduction.
The hands on where kinda on the easy side... but very interesting.
By Eric M•
Apr 15, 2017
Extremely clear and informative. Good introduction to ML. I felt the labs could have had us write a little more of our own code, and would have been better to use non-proprietary libraries.
By Sander v d O•
May 09, 2016
Simply a great course. Good intro to machine learning classifiation.
By Justin K•
Jun 10, 2016
Assignments were a little too easy, considering that students are expected to have taken the first two courses in the specialization. Otherwise, great course!
By charan S•
Jul 30, 2017
Very nice course, detailed explanations and visualizations.
By Bruno G E•
Apr 17, 2016
Lack some of classical classification algorithms like SVM and Neural Netwroks.
By Antonio P L•
Apr 30, 2016
By Stefano T•
Mar 15, 2016
The contents are very interesting and well explained. Nevertheless, unlike the Regression module, the current one suffers of some technical problem, like slides not well formatted, noisy audio in some video, weekly work load not perfectly calibrated. Despite all this, if you are interested in the subject, you will definitely love this course!!!
By MARIANA L J•
Aug 12, 2016
-Good examples to learn the concepts
-Good organization of the material
-The assignments were well-explained and easy to follow-up
-The good humor and attitude of the professor makes the lectures very engaging
-All videolectures are small and this makes them easy to digest and follow (optional videos were large compared with the rest of the lectures but the material covered on those was pretty advanced and its length is justifiable)
Things that can be improved:
-In some of the videos the professor seemed to cruise through some of the concepts. I understand that it is recommended to take the series of courses in certain order but sometimes I felt we were rushing through the material covered
-I may be nitpicking here but I wish the professor used a different color to write on the slides (the red he used clashed horribly with some of the slides' backgrounds and made it difficult to read his observations)
Overall, a good course to take and very easy to follow if taken together with the other courses in the series.
By Ning A•
Sep 16, 2016
Learn more than just classification, but also learn how to understand the ideas behind classification algorithms.
By Jaime A C B•
Sep 12, 2016
Sometimes is difficult to understand the concept behind Classification because some videos are more practical than theorical, I mean it could be better to start the video explaining some concepts and then show and explan some samples and theorical issues.
By Vladislav V•
May 13, 2016
It feels like it lacks certain depth.
By Gaurav K J•
May 01, 2018
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.
By Amilkar A H M•
Nov 27, 2017
It's a great course, but the programming assignments are a little too guided. That is good, to some extend, as it allows you to focus on the concepts, but at the same time, it leave little space for actually practicing your coding skills. I know they said from the beginning that this course was not focused on the implementation of the algorithms, however, how are you going to be able to use what you've learned without knowing how to implement the algorithms on your own.
When it comes to coding, nothing replace implementing the algorithms yourself. That is my only complaint. Other than that, it's great. I loved it. The concepts were well explained and they covered a lot of material. I wish they had spent more time in certain topics, but I guess this is just an introduction. Anyway, take this course by any means if you have some programming experience and have little to no machine learning knowledge.
By Sahil M•
Jul 10, 2018
Was a good course with some in-depth topics covered!
Aug 04, 2018
I can give a five star for this course, but removed one star cause graphlab api annoyed me a lot of times. The theory covered in this is course is good. The programming assignments are well structured but if api's like pandas, numpy, scikit learn were used it would have made my life easy.
Aug 12, 2018
Exercises are way too easy.
By Lorenzo L•
Aug 31, 2018
Good, funny and super-clear professors introduce you to the main classification techniques out there (except for neural networks). Great if you are approaching this field and want to know more before deciding if you really want to invest a lot in it. 4 stars because it would have been better with more popular python packages than GraphLab.
By Fahad S•
Nov 03, 2018
The content was excellent and the exercises were really good. It would be better if svms and bayesian classifiers are also covered
By Sacha v W•
Nov 10, 2018
The course is well structured and very well explained. The structure is step by step increasing the the complexity. The programming exercises are excellent. I really appreciate the humor and passion of Carlos in teaching the material and his ability to explain complex matters with simple examples. The only drawback is that the course uses python packages that are less familiar. That is why I audited the course and worked with pandas and sklearn.
By Ragunandan R M•
Sep 17, 2018
Good overall course.
By Srinivas C•
Dec 02, 2018
This course was really good and helped in understanding different techniques in Classification
By Thuc D X•
Jun 28, 2019
Sometimes the assignment description was hard to follow along. Overall, the course equips me a good understand and practical skills to tackle classification tasks.