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 Tripat S•
Jun 24, 2016
This is the best course ever that can happen in ML...I did not know anything, but after taking this specialization, my understanding of ML has dramatically improved
Would recommend without any reservation - Prof Gustrin and Prof Fox are the best!!!
by Evgeni S•
Jun 11, 2016
Very focused overview of different classification methods. Goes deeper than in other ML classes.
by Shaowei P•
Mar 31, 2016
great course, would have been even more great if there are more details on how to use boosting for kaggle
by Pandu R•
Apr 20, 2016
Worth the wait.
by Richard L•
Oct 15, 2016
Great course. The lectures and programming assignments have been extremely beneficial to help me get a basic foundation of ML classification.
by Sara E E•
Mar 29, 2018
It is very intuitive and easy to follow.
I hope you add SVM and talk about linear/nonlinear decision boundaries in the next enhancement to the course.
by Krishna C•
Sep 16, 2017
by Sanjay M•
Jun 30, 2017
Very nice course with good mix of machine learning concepts with maths, programming.
by Willismar M C•
Nov 19, 2016
Amazing Course Module, I learned a lot of concepts for classifications using Decision Trees, Logistic Functions, Boosting, Ensemble and way to attack problems. Also a lot of coding with Graphlab, I personally like to program by my own but I also appreciating the tool for the class and comparing my skills with other tools. Very cool ! Nice Class
by Sundar J D•
Apr 23, 2016
Overall a great course and has a very good instructor. Teaches you all the fundamentals behind classification algorithms and models. Contains very good assignments/projects that make you implement the models yourself to get a much better understanding of the concepts.
by Yoshifumi S•
May 08, 2016
As always in this specialization, tough course but so practical !!
by m w•
Dec 24, 2017
While I enjoyed most of the exercises, I found some of the implementations to be more puzzle solving rather than deeply understanding the algorithms.
by Jenny H•
Jan 01, 2017
All courses in this series are organized and taught in an extremely efficient manner. I have learned so much out of them and they have helped me with my current job and my next job search!
by Alex L•
Mar 08, 2016
Great courses as usual like the previous courses in this specialization. Cater for beginners who want to gain a strong foundation and practical usages for ML.
by Pawan K S•
May 15, 2016
Nice course with appropriate amount of detail in it! Covers tough mathematical aspect for those who are interested in it.
by Joshua A•
Sep 20, 2016
Very thorough and engaging. Optional material allowed the more curious to learn a great deal about the topics. Simple, hands-on approach to classification algorithms. Highly recommended!
by Filipe G•
Apr 02, 2016
The best machine learning course I took online. I've taken other coursera courses, and this is the most complete, comprehensive, and well made.
by Jair d M F•
Apr 21, 2016
by Isaac B•
Nov 20, 2016
Excellent course. Practical understanding of classification
by Manuel T F•
Jul 21, 2017
Really great course. Well done!
by Wenxin X•
Mar 26, 2016
This specialization overall is pretty good. Personally I feel like Classification talks more about concepts and important ideas and requires less on coding comparing to Regression. Learned a lot! Love Carlos and Emily!
by Maria C•
Mar 08, 2016
One of the best online machine learning courses I have taken. Excellent explanation of many techniques on Classification. A great combination of theory and hands-on examples. Thank you, Professors Fox & Guestrin.
by Andrew M O•
Jun 15, 2016
I came here to learn. I learned.
by Ganesan P•
Feb 06, 2017
A very good course - understood a lot about classification and the understanding gained will help in reading text books like Ian Good Fellow for deep learning
by Uday A•
Jun 15, 2017
Great learning experience. Thanks to Carlos and Emily! Loving every bit of this specialization. :)
It would help if there could be a small introduction to other types of classifiers (Naive Bayes, SVM etc), atleast pointing the student to external resources to try them out.