Aug 14, 2020
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
Mar 01, 2017
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 Naman D D•
Aug 31, 2020
Very vague as a mooc.
创建者 Gianluca M•
Oct 20, 2016
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•
May 25, 2020
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•
Jun 17, 2020
The professors are experts on the subject, but unfortunately they rush through content and some of the classes are outdated (i.e. they use packages and data that are not the newest version) and this generates confusion througout the course.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•
Mar 22, 2016
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•
Feb 04, 2016
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 Daniele D F•
Sep 25, 2020
Very disappointed with this course; it is unbelievable that JHU allow to publish a so poor course! It is completely out of date and is easier find more valid content on wikipedia than in this course!
创建者 Robert O•
Apr 06, 2016
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 Etienne B•
Mar 01, 2016
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•
Jan 26, 2020
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•
Dec 04, 2019
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•
May 25, 2020
In my opiion, this course needs to be improved a lot. There are almost nothing Practical Machine Learning.
创建者 yi s•
Jul 19, 2016
too general no depth, not recommended for science or engineering degree holders
创建者 Stephen E•
Jun 27, 2016
To be honest I don't think this is worth the money.
创建者 Stephane T•
Jan 31, 2016
Too much surface, not enough depth.