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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
3,090 個評分
586 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.

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151 - 实用机器学习 的 175 個評論(共 576 個)

創建者 Connor B

2019年9月24日

Really good exposure to machine learning and builds on the previous course in regression

創建者 Alfonso R R

2018年11月13日

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

創建者 Brian G

2017年8月17日

Great course. Mechanics of the final assignment are more difficult than the work itself.

創建者 Paresh P

2020年12月8日

Explained practical machine learning well, concepts like model stacking really helped!

創建者 Sean D

2020年6月10日

Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.

創建者 Konstantin

2020年3月2日

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

創建者 Donson Y

2017年9月4日

This is a fantasy course to know that how to build your first machine learning model.

創建者 Jorge M A A

2016年4月13日

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

創建者 Premkumar S

2019年3月16日

Great course and farily challenging exercises! Thank You for putting this together!!

創建者 Sai S S

2017年7月17日

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

創建者 Thet P S A

2020年8月21日

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

創建者 Mary

2019年8月19日

Very informational with good variety of code to take back and apply to projects.

創建者 Nikhilesh J

2018年3月2日

Provides a quick and dirty look at Machine Learning. An easy way to get started.

創建者 Jeffrey M H

2019年6月10日

So far, one of the most fulfilling courses in the Data Science specialization!

創建者 Ajendra S

2017年11月7日

This a good course, giving you the inside of the data science problem solving.

創建者 Lei M

2017年8月23日

This course is demanding, but I feel my own progress which is very fulfilling.

創建者 Johan V M

2020年8月21日

I loved this course. I will absolutely take more courses on Machine Learning.

創建者 Forest W

2018年1月9日

Much Better than the previous courses ( Regression and Statistical Inference)

創建者 Chris H

2016年5月23日

Great course. I really enjoyed working on the prediction project at the end.

創建者 Marcus S

2016年2月11日

Great introduction to the subject with good classification examples using R.

創建者 Gayathri N

2020年9月21日

Wonderful foundational course to understand the basics of machine learning.

創建者 Sarah S

2017年5月31日

I enjoyed detailed information and was very straight forward to understand.

創建者 SATHYANARAYANAN S

2017年9月10日

Very good for anyone wanting to get into the field of Data Science using R

創建者 Sandro G

2017年10月13日

I have learnt a lot of thing and very happy to have followed this course

創建者 Camilo Y

2017年3月14日

This course is a good introduction to machine learning algorithms with R