recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
创建者 CHEN X•
Feels like everything is solved using a caret package, while the back-end theory is only slightly touched. By using a single line command solver, student may lack the foundation for harder problems in the real world.
创建者 Daniel J R•
Seems like a lot to pack into 4 -weeks. Should really be named introductory machine learning. Needs more depth and better development of the intuitions associated to each algorithm class to match the expectations.
创建者 Ayushmaan D V•
The material covered was good and informative, the reference material was nice. But the video leactures themselves were lacking in many respects. The videos covered only a bare minimum and could have been longer.
创建者 Vinay K S•
I like initial courses like Exploratory Data Analysis but later on it got harder to follow the lectures. A lot of topics were just rushed through and little effort was made to make them engaging or interesting.
创建者 Andrew W•
Very interesting subject area, I think there is simply too much to cram into one course. Should consider spliting the subject into 2 courese or simply concentrate on only 1 or 2 main areas (e.g. cla
创建者 Andrew W•
The videos are really tutorials on R functions for machine learning and data wrangling. A good substitute for "Machine Learning" by Andrew Ng in terms of managing data sets and exploratory analysis.
创建者 M. D•
Content somewhat outdated. Referenced packages don't always work in current version of R. Material can be better explained with more detailed discussion of examples rather than theory.
创建者 Robert C•
This course needs swirl assignments. I did fine on the quizzes and assignments, but I only feel like I learned a minimal amount of machine learning, even practical machine learning.
创建者 Raul M•
The class is good but it is too simple. I expected the professor will provide more detail about the models. This is just an introduction and weak for a specialization.
创建者 Brian F•
There was some good material in here, but it was rushed and is deserving of a much longer course - especially compared to some of the other modules in this course.
创建者 Chuxing C•
the lack of assisted practices made it harder to digest the contents and methodologies.
strongly suggest to develop some practice problems with explanations.
创建者 Michalis F•
Good in introducing caret package and getting some experience in running algorithms. Was expecting more in-depth discussion about the methods though.
创建者 Davin G•
It's an excellent crash course to machine learning but the stats part was rushed. Had to look up external resources to understand what was going on.
创建者 Léa F•
Rather good overview. The contents could dig deeper into each subject, and it would improve the course a lot if some exercises in Swirl were added.
创建者 Miguel J d S P•
I didn't enjoy the supporting materials and the quizzes weren't very interesting. The final project was fine.
The subject is super interesting.
创建者 Max M•
Should have gone into more depth and included swirl lessons, like previous courses. The quizzes were very challenging though, so that helped.
创建者 Kyle H•
A brisk introduction to some of the basics of Machine Learning. Will leave with an understanding of a few ways to use the caret package.
创建者 Manuel E•
Good course, but either explanations are too fast paced for the level of difficulty, or my neurons have began to decay with age.
创建者 Noelia O F•
Good course for learning the basics of the caret package. However, it is not a good course for learning machine learning.
创建者 Joseph I•
Material was very interesting but was covered at a very high level and a lot of additional learning was required.
创建者 José A G R•
Superfluous but the existence of the package "caret" covers the gap of other libraries like "skilearn" of python
创建者 BAUYRJAN J•
Instructor rushes the course and does not explain much in the same level of details as respective quiz requires
创建者 Hongzhi Z•
All the formulas and code in slides are too abstract. If can be more charts to interpret that will be better.
创建者 Henrique C A•
Exercises could be more complete, and some are outdated for latest R, giving slightly different results.
创建者 Alex F•
A fine introduction, but there are much more engaging and better quality courses out there...