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 Shazia B•
Mar 25, 2019
one of the best experience about this course i gained I learned a lot about machine learning classification further machine learning regression thanks a lot Coursera :)
By Fakrudeen A A•
Sep 15, 2018
Excellent course - teaches linear, logistic regression and decision trees. It also teaches the most important concept of precision-recall. Overall highly recommended.
By Marcus V M d S•
Oct 16, 2017
Another great course from this specialization. Tremendous effort in making the notebooks and assignments. I just think there could be recommended readings also.
By ZHE C•
Mar 26, 2017
effective teaching and practice about decision tree, boosting, and logistic regression. Could have a little more practice on gradient boosted tree/random forest
By Niyas M•
Oct 29, 2016
Amazing course! Packed with insights, reasoning and Carlos's humor and wit. Highly recommended for novices (along with the Machine Learning Foundations course).
By Leon A•
Mar 10, 2016
Course material selection, pace and presentation are all well thought out. This sequence of courses in the Machine Learning specialization is truly exceptional.
Jun 12, 2019
its been 3 weeks I started this course it was so nice and awesome. the lectures explaination and the ppt all were well crafted and easy to pick and understand.
By Bharat J•
Jan 19, 2018
I wish we had 5th course too,All courses are well organized and can be completed with other tool.
Hope they also include SVM and start courses on deep learning
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 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 Babak P•
Jun 28, 2018
Great exposure that requires hand coding the algorithms. Really makes the concepts stick with a perfect combination of theory and programming mixed together.
By Farrukh N A•
Feb 10, 2017
I found carols to be the best instructor in machine learning domain, he presented the algorithms and all core machine learning concepts in really great way.
Aug 03, 2016
A great combination between down to earth concepts and their implementations in python. Implementation of topics in plain python is what I enjoyed the most.
By Jane z•
Jan 26, 2020
The hands-on approach is excellent. Not only I learned ML / Classification, I was able to practice Python skills and statistical skills as well.
By Nikolay C•
Mar 16, 2016
Excellent course! I've learned these topics before, but many things were not clear enough. While learning this course my knowledge really improved a lot.
Nov 13, 2016
I think support vector machines is an important topic which is missing. Anyway, the programming assignments were terrific. I really enjoyed this course!
By Andrea C•
Sep 07, 2016
The course covers most important topics in depth and exercises are very interesting, them helps you to reason about some important theoretical concepts.
By Youssef R•
Aug 23, 2017
This is really a wonderfull course, and i recommend it to anyone who want to master some important techniques in the trending field of machine learning
By Josef H•
Nov 27, 2016
I like the detailed comparison between choosing different parameters for creating the classification model. I learn a lot of tricks for creating plots.
By Suoyuan S•
Apr 21, 2016
This course is friendly to machine learning beginners for the learning material is easy to understand as well as the assignment is easy to accomplish.
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 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 Gunjari B•
May 21, 2018
An absolute marvel of a course! In depth explanation to everything, detailed and important concepts explained so much at ease with Carlos' humour!
By RAMESH K M•
Aug 01, 2016
The course has be described in a very precise manner. The instructor takes time to clearly explain the concepts and the importance of the same.
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.