Chevron Left
返回到 实用机器学习

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
3,199 個評分

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

JC

2017年1月16日

excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!

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

篩選依據:

526 - 实用机器学习 的 550 個評論(共 607 個)

創建者 Raul M

2019年2月12日

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.

創建者 Brian F

2017年8月15日

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.

創建者 Chuxing C

2016年2月5日

the lack of assisted practices made it harder to digest the contents and methodologies.

strongly suggest to develop some practice problems with explanations.

創建者 Michalis F

2017年5月26日

Good in introducing caret package and getting some experience in running algorithms. Was expecting more in-depth discussion about the methods though.

創建者 Davin G

2019年8月26日

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.

創建者 Léa F

2018年1月9日

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.

創建者 Miguel J d S P

2017年5月19日

I didn't enjoy the supporting materials and the quizzes weren't very interesting. The final project was fine.

The subject is super interesting.

創建者 Max M

2017年12月12日

Should have gone into more depth and included swirl lessons, like previous courses. The quizzes were very challenging though, so that helped.

創建者 Kyle H

2018年5月9日

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.

創建者 Manuel E

2019年8月8日

Good course, but either explanations are too fast paced for the level of difficulty, or my neurons have began to decay with age.

創建者 Noelia O F

2016年7月19日

Good course for learning the basics of the caret package. However, it is not a good course for learning machine learning.

創建者 Joseph I

2020年2月1日

Material was very interesting but was covered at a very high level and a lot of additional learning was required.

創建者 José A G R

2017年2月5日

Superfluous but the existence of the package "caret" covers the gap of other libraries like "skilearn" of python

創建者 BAUYRJAN J

2017年3月1日

Instructor rushes the course and does not explain much in the same level of details as respective quiz requires

創建者 Hongzhi Z

2018年1月2日

All the formulas and code in slides are too abstract. If can be more charts to interpret that will be better.

創建者 Henrique C A

2016年10月13日

Exercises could be more complete, and some are outdated for latest R, giving slightly different results.

創建者 Alex F

2018年12月29日

A fine introduction, but there are much more engaging and better quality courses out there...

創建者 Yingnan X

2016年2月11日

If you have taken Andrew Ng's machine learning class, it's not necessary to take this one.

創建者 yohan A H

2019年9月6日

I think it was a very fast course and I feel more real examples would have been useful,

創建者 fabio a a l l

2017年11月14日

Poor supporting material in a course that tries to cover a lot in a very limited time.

創建者 Rafael S

2018年7月24日

this course seemed too rushed for me, too little content for such a extense subject

創建者 Raj V J

2016年1月24日

more needs to be taught in class. what is taught is not sufficient for quizzes.

創建者 Surjya N P

2017年7月2日

Overally course is good. But weekly programming assignments will be great.

創建者 王也

2016年12月17日

Too different for beginners but not deep enough for ones already know R.

創建者 James F

2016年9月10日

Quizzes are useful exercises but need to do a lot of self studying.