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 :)
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!
By Ornella G•
I really enjoyed the topics presented and the fluid way to present them. It's a very well done summary of the classification models.
By Siddharth S•
Excellent course and all the concepts have been explained very simply and with an element of fun.
Many thanks to Emily and Carlos...
By Alvin B K•
This was a very great course. I got the confidence to use ML algorithms and concepts efficiently and also write my own algorithms.
By Gaurav c•
Would have loved even more had Carlos explained his students gradient boosting as well. I liked the way of his taught in lectures.
By Ankur P•
Loved the way our tutor (Carlos) explained the concepts to us. Things are getting clearer with each course in ML :) Many thanks :)
By Renato R S•
All the basics - and much of the advanced stuff - is presented, in a coherent and inspired way. Thanks for crafting such a course.
By Joseph F•
Good course with many assignment to design the algorithm with your own code. But I think this course last a little bit too long.
By Tanachote R•
Thank you for sharing your knowledge to me. This course is very good and I really appreciate both of you (Carlos and Emily)
By Reinhold L•
Very good course for classification in machine learning - top presentation documents - very well structured and practical
By Pawan K S•
Nice course with appropriate amount of detail in it! Covers tough mathematical aspect for those who are interested in it.
By Fabio P•
Very interesting topic with some advanced topics covered. It really shows how to use machine learning in the real world.
By Matthew S•
Great! Not horribly wretchedly awful, but actually very good! (With this class I hope this is classified correctly!)
By Vibhutesh K S•
It was a very detailed course. I wished, doing it much earlier in my research career. Great insights and Exercises.
By Igor K•
very interesting and novice friendly, however some math (basic matrix calculus and derivatives) review worth doing
By Etienne V•
Great course with very good material! I'd like to see assignments that leaves more coding tasks to the student.
By Naman M•
you can't find a better course on machine learning as compared to this one. Simply the best course on coursera
By Divyang S•
Excellent and very in-depth coverage of basic and advanced concepts... Perhaps the best course out there !!!!
By Emil K•
Such a great course. Brings the math behind machine learning to users without a math background. Thank you.
By Naimisha S•
Availability of the Ipython notebook makes it easy to solve the Quizzes which has step by step explaination
By Konstantinos P•
The context and the structure of the course is absolutely perfect. Also, Carlos is the perfect professor!
By Hristo V•
The course is absolutely amazing! Very clear explanation of the concepts with great notebook assignments.
By Shaowei P•
great course, would have been even more great if there are more details on how to use boosting for kaggle
By Rashi K•
Assignments were more challenging than previous course. Loved solving them. Enjoyed the optional videos.
By Dmitri T•
Really liked the practical application of this course - very useful in learning classification methods.
By Deepak S•
Assignments are great providing an opportunity to have better understanding about the topic discussed