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學生對 约翰霍普金斯大学 提供的 实用机器学习 的評價和反饋

4.5
3,055 個評分
579 條評論

課程概述

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation....

熱門審閱

MR
2020年8月13日

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

AD
2017年2月28日

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.

篩選依據:

551 - 实用机器学习 的 570 個評論(共 570 個)

創建者 Philip E W J

2019年1月30日

Jef leek explains to fast and the theory behind the different algorithms is scarcely explained.

創建者 Allister G A

2017年12月25日

The course needs to elaborate more on hands on discussions.

創建者 max

2017年1月17日

not what I expected for a machine learning course

創建者 Y. B

2016年2月6日

incomplete and not clear. extremely disappointed.

創建者 Yang L

2016年8月14日

needs more case studies and examples

創建者 Haolei F

2016年3月13日

Need to get more in-depth

創建者 Naman D D

2020年8月31日

Very vague as a mooc.

創建者 Gianluca M

2016年10月20日

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.

創建者 José M M A

2020年5月25日

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.

創建者 Ricardo G C

2020年6月17日

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.

創建者 Danielle S

2016年3月22日

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.

創建者 Jo S

2016年2月4日

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.

創建者 Robert O

2016年4月6日

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.

創建者 Etienne B

2016年3月1日

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.

創建者 Eduardo S B

2020年1月26日

They explain nothing on the fundamentals of the machine-learning methods, nor how to know which method apply to a given problem.

創建者 Abhilash R N

2019年12月3日

This course is NOT for the beginner. Take time to finish all the beginner and foundation courses and then take time to learn R

創建者 Emily S A

2020年5月25日

In my opiion, this course needs to be improved a lot. There are almost nothing Practical Machine Learning.

創建者 yi s

2016年7月19日

too general no depth, not recommended for science or engineering degree holders

創建者 Stephen E

2016年6月27日

To be honest I don't think this is worth the money.

創建者 Stephane T

2016年1月31日

Too much surface, not enough depth.