SM
14 de jun. de 2020
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 :)
SS
15 de oct. de 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!
por Dongliang Z
•22 de mar. de 2018
Excellent course! The teacher explained a lot of intuitions during the course. The optional part s are very interesting and helpful.
por Ornella G
•1 de oct. de 2016
I really enjoyed the topics presented and the fluid way to present them. It's a very well done summary of the classification models.
por Siddharth S
•8 de ene. de 2018
Excellent course and all the concepts have been explained very simply and with an element of fun.
Many thanks to Emily and Carlos...
por Alvin B K
•28 de sep. de 2020
This was a very great course. I got the confidence to use ML algorithms and concepts efficiently and also write my own algorithms.
por Gaurav c
•22 de may. de 2019
Would have loved even more had Carlos explained his students gradient boosting as well. I liked the way of his taught in lectures.
por Ankur P
•29 de may. de 2018
Loved the way our tutor (Carlos) explained the concepts to us. Things are getting clearer with each course in ML :) Many thanks :)
por Renato R S
•27 de ago. de 2016
All the basics - and much of the advanced stuff - is presented, in a coherent and inspired way. Thanks for crafting such a course.
por Joseph F
•5 de abr. de 2018
Good course with many assignment to design the algorithm with your own code. But I think this course last a little bit too long.
por Tanachote R
•25 de abr. de 2020
Thank you for sharing your knowledge to me. This course is very good and I really appreciate both of you (Carlos and Emily)
por Reinhold L
•21 de mar. de 2019
Very good course for classification in machine learning - top presentation documents - very well structured and practical
por Pawan K S
•15 de may. de 2016
Nice course with appropriate amount of detail in it! Covers tough mathematical aspect for those who are interested in it.
por Fabio P
•18 de abr. de 2016
Very interesting topic with some advanced topics covered. It really shows how to use machine learning in the real world.
por Matthew S
•22 de may. de 2020
Great! Not horribly wretchedly awful, but actually very good! (With this class I hope this is classified correctly!)
por Vibhutesh K S
•22 de may. de 2019
It was a very detailed course. I wished, doing it much earlier in my research career. Great insights and Exercises.
por Igor K
•16 de mar. de 2016
very interesting and novice friendly, however some math (basic matrix calculus and derivatives) review worth doing
por Etienne V
•13 de nov. de 2016
Great course with very good material! I'd like to see assignments that leaves more coding tasks to the student.
por Naman M
•9 de jul. de 2019
you can't find a better course on machine learning as compared to this one. Simply the best course on coursera
por Divyang S
•13 de sep. de 2020
Excellent and very in-depth coverage of basic and advanced concepts... Perhaps the best course out there !!!!
por Emil K
•29 de ene. de 2020
Such a great course. Brings the math behind machine learning to users without a math background. Thank you.
por Naimisha S
•30 de jul. de 2018
Availability of the Ipython notebook makes it easy to solve the Quizzes which has step by step explaination
por Konstantinos P
•28 de mar. de 2017
The context and the structure of the course is absolutely perfect. Also, Carlos is the perfect professor!
por Hristo V
•1 de dic. de 2016
The course is absolutely amazing! Very clear explanation of the concepts with great notebook assignments.
por Shaowei P
•31 de mar. de 2016
great course, would have been even more great if there are more details on how to use boosting for kaggle
por Rashi K
•17 de mar. de 2016
Assignments were more challenging than previous course. Loved solving them. Enjoyed the optional videos.
por Dmitri T
•25 de abr. de 2016
Really liked the practical application of this course - very useful in learning classification methods.