4 de may. de 2020
Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5
16 de mar. de 2016
I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!
por Nikos K•
3 de jun. de 2016
Useful to get a first understanding but do not feel comfortable to use any of it in real case scenarios. Could give solutions at the end of the whole course to see best coding, and unsolved questions.
por Pablo V I•
27 de jul. de 2017
It would have been nice to have some videos devoted to inference on the model coefficients and statistical model comparison, or on how adding/removing features can be assessed from such point view.
por Supharerk T•
18 de feb. de 2016
Programming assignment sometime ambiguious and hard to follow. A lot of time you have no idea WHICH dataset they are talking about e.g. "query house" in the last lesson.
Overall it's a great course.
por Rattaphon H•
12 de jun. de 2016
This course start from problems. So this great to motivate the content and let student know why. However, there are lot of confusion questions that lead to miss understand the exercise problems.
por Matt T•
9 de dic. de 2015
I appreciate the nuts and bolts focus on implementation that facilitates development of intuition, intuition that for me at least does not come from presentation of the mathematics in isolation.
por piyush s•
21 de feb. de 2016
This is an excellent course to get the math involve behind the regression. Instructors are awesome. I also feel that Bayseain regression should have been included. I missed that part badly.
por fan w•
26 de jun. de 2018
when quizs get harder, i'd hope we have more intermediate numbers that we can use to verify with my results. instead of every 5 or 10 steps, maybe it's good to have one every other step.
por Siva J•
24 de mar. de 2016
Very challenging course. Could have been 5 had the course duration been stretched by 2 weeks.
Tough to complete and do justice to the subject matter in the time frame provided.
por Eric S•
26 de sep. de 2017
Really well presented. Good mix of theoretical and practical. Also, excellent intro course for those with statistics background getting into the machine learning arena
4 de feb. de 2018
Some questions in the quiz, regarding the speed needed is not explained in the course. The course gives orders of magnitude while the quizes ask for he exact estimation
por Jose D d O F•
13 de sep. de 2017
Assignments were not challenging, I think they could be made harder. The instructor is awesome, though: she is very clear and dives in satisfiable depth on each topic.
por Ahmed E•
11 de jun. de 2017
The lecturer is a very skilled presenter that it's difficult to get bored watching the videos. The partially completed code is a great idea, too. Enjoyed this course!
por Pieterjan C•
23 de oct. de 2017
In my opnion this course offers a good overview of regression fundamentals and techniques. Like mentioned in the course inference is a topic that is missing.
por Anmol g•
14 de nov. de 2016
Nice Course, every concept was explained in necessary details, the quizzes should include questions which should be inferential rather than only output based.
por SAMEER A P•
20 de feb. de 2016
A lot of new concepts were introduced with good clarity. All the math was less rigorous which was perfect to understand and get hold on important techniques.
por Suneet T•
7 de feb. de 2016
Excellent course to take a deep dive into Regression concepts. Could have been better if the hands on part would have been in R - Programming as well.
por Thakur S S•
14 de nov. de 2017
Amazing course, with focus on both theory and application part.
Only problem was the use of GraphLab, would have been lot better if pandas was used
por ANGELICA D C•
10 de sep. de 2020
Fue un buen curso, pero noté que a veces cambiaban las fórmulas y no explicaban el porqué. Eso me causó mucha confusión y algo de tiempo perdido.
por Tùng N•
3 de dic. de 2015
like it so far, after one week
i like the way they let us code the procedures ourselves.
expect it to level up in the upcoming weeks and classes
por James Q•
14 de abr. de 2018
Excellent materials. I don't agree with some of the programming principals, but the ML stuff is spot on and I'm using these lessons daily.
por Ayush S•
2 de sep. de 2016
Excellent series of courses. Before this was confused what was my interest in Computer Science, now I've found Machine Learning, perfect.
por Kirill D•
8 de feb. de 2016
I think you should make update process of Graphlab more intuitive, this was the only problem I have faced during this wonderful course!
por Diego N•
31 de ene. de 2016
Better deep understanding of common machine learning concepts. Still learn some different things than those exposed on andrew ng course
por Amirhossein S•
13 de ene. de 2019
Well, I think Carlos teaches way more enthusiastically and energetically than Emily! But I did enjoy my course on this specialization.
por Baubak G•
23 de may. de 2018
I think the forum activity is a bit low, and I think in some cases the things are overly describes whereas in others it goes too fast.