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 Andrés M•
It is a poor course… A lot of the materials go to Wikipedia or other sites. What is the point of a course that sends you to Wikipedia?
创建者 Jeffrey G•
Course project was the only project work, needed more. This course should also use swirl(). Quizzes et al contained mistakes.
创建者 Michael R•
It's a mediocre intro to some machine learning tools. I think the course materials could be drastically improved.
创建者 Philip E W J•
Jef leek explains to fast and the theory behind the different algorithms is scarcely explained.
创建者 Allister G A•
The course needs to elaborate more on hands on discussions.
not what I expected for a machine learning course
创建者 Yohann B•
incomplete and not clear. extremely disappointed.
创建者 Yang L•
needs more case studies and examples
创建者 Haolei F•
Need to get more in-depth
创建者 Naman D D•
Very vague as a mooc.
创建者 Gianluca M•
Gosh I hated hated hated this course. Nothing to learn here. You will just be given lots of names with no explanation whatsoever.
I often felt really angry at the teacher because of the way he would introduce entire prediction models without explaining anything about them. Also, I really didn't like the fact that the course is centered on caret, a "shortcut" package to do stuff fast. Before doing things fast I need to know what I am doing! Finally, the quizzes and assignments are completely disconnected from the courses.
The worst course I have ever taken on coursera.
创建者 José M M A•
This course did not fulfill my expectations. It is the worst one in the Data Science Specialization by far.
Although the explanations are fine, sometimes they are too vague and there is no practice at all, when the title of the course is "Practical".
Most of the tools used are not comprehensively detailed and the quizzes are quite confusing.
Some of my peers reported that the course is not updated since 2013, which is a severe flaw when talking about one of the statistical tools more in-fashion nowadays.
创建者 Ricardo G C•
The professors are experts on the subject, but unfortunately they rush through content and some of the classes are outdated (i.e. they use packages and data that are not the newest version) and this generates confusion througout the course.
创建者 Danielle S•
Material is very high level. No ppt's are given, so all links presented in the video's cannot be viewed.
Quizzes are based upon old packages, so incorrect answers are provided.
No replies at discussion board from TA"s or instructors.
创建者 Jo S•
Poor compared with some of the others on this specialisation. The lectures are too fast and high level, with no allowance given for people who are unfamiliar with this area and attempting to learn it.
创建者 Robert O•
Very little depth. I don't recommend this if you don't already have background in statistics or R. I really didn't learn anything. I mostly just gamed the quizzes and projects.
创建者 E B•
Cannot take the exam, I have to pay... wtf... I will probably pay at the end, but I want to take the class first. Without certificate I cannot prove I took the course.
创建者 Eduardo S B•
They explain nothing on the fundamentals of the machine-learning methods, nor how to know which method apply to a given problem.
创建者 Abhilash R N•
This course is NOT for the beginner. Take time to finish all the beginner and foundation courses and then take time to learn R
创建者 Emily S A•
In my opiion, this course needs to be improved a lot. There are almost nothing Practical Machine Learning.
创建者 yi s•
too general no depth, not recommended for science or engineering degree holders
创建者 Stephen E•
To be honest I don't think this is worth the money.
创建者 Stephane T•
Too much surface, not enough depth.