워싱턴 대학교의 Machine Learning: Classification 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
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!
Machine Learning: Classification의 568개 리뷰 중 126~150
교육 기관: Dongliang Z
•Excellent course! The teacher explained a lot of intuitions during the course. The optional part s are very interesting and helpful.
교육 기관: 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.
교육 기관: 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...
교육 기관: 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.
교육 기관: 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.
교육 기관: Ankur P
•Loved the way our tutor (Carlos) explained the concepts to us. Things are getting clearer with each course in ML :) Many thanks :)
교육 기관: 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.
교육 기관: 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.
교육 기관: 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)
교육 기관: Reinhold L
•Very good course for classification in machine learning - top presentation documents - very well structured and practical
교육 기관: Pawan K S
•Nice course with appropriate amount of detail in it! Covers tough mathematical aspect for those who are interested in it.
교육 기관: Fabio P
•Very interesting topic with some advanced topics covered. It really shows how to use machine learning in the real world.
교육 기관: Matthew S
•Great! Not horribly wretchedly awful, but actually very good! (With this class I hope this is classified correctly!)
교육 기관: Vibhutesh K S
•It was a very detailed course. I wished, doing it much earlier in my research career. Great insights and Exercises.
교육 기관: Igor K
•very interesting and novice friendly, however some math (basic matrix calculus and derivatives) review worth doing
교육 기관: Etienne V
•Great course with very good material! I'd like to see assignments that leaves more coding tasks to the student.
교육 기관: Naman M
•you can't find a better course on machine learning as compared to this one. Simply the best course on coursera
교육 기관: Divyang S
•Excellent and very in-depth coverage of basic and advanced concepts... Perhaps the best course out there !!!!
교육 기관: Emil K
•Such a great course. Brings the math behind machine learning to users without a math background. Thank you.
교육 기관: Naimisha S
•Availability of the Ipython notebook makes it easy to solve the Quizzes which has step by step explaination
교육 기관: Konstantinos P
•The context and the structure of the course is absolutely perfect. Also, Carlos is the perfect professor!
교육 기관: Hristo V
•The course is absolutely amazing! Very clear explanation of the concepts with great notebook assignments.
교육 기관: Shaowei P
•great course, would have been even more great if there are more details on how to use boosting for kaggle
교육 기관: Rashi K
•Assignments were more challenging than previous course. Loved solving them. Enjoyed the optional videos.
교육 기관: Dmitri T
•Really liked the practical application of this course - very useful in learning classification methods.
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