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学生对 约翰霍普金斯大学 提供的 实用机器学习 的评价和反馈

4.5
3,107 个评分
589 条评论

课程概述

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....

热门审阅

MR
Aug 13, 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

AD
Feb 28, 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.

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151 - 实用机器学习 的 175 个评论(共 579 个)

创建者 Rizwan M

Oct 13, 2019

great course. could have explained more techniques in caret package with coding examples

创建者 Connor B

Sep 24, 2019

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

创建者 Alfonso R R

Nov 13, 2018

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

创建者 Brian G

Aug 17, 2017

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

创建者 Paresh P

Dec 8, 2020

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

创建者 Sean D

Jun 10, 2020

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

创建者 Konstantin

Mar 2, 2020

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

创建者 Donson Y

Sep 4, 2017

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

创建者 Jorge M A A

Apr 13, 2016

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

创建者 Premkumar S

Mar 16, 2019

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

创建者 Sai S S

Jul 17, 2017

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

创建者 Thet P S A

Aug 21, 2020

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

创建者 Mary

Aug 19, 2019

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

创建者 Nikhilesh J

Mar 2, 2018

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

创建者 Jeffrey M H

Jun 10, 2019

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

创建者 Ajendra S

Nov 7, 2017

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

创建者 Lei M

Aug 23, 2017

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

创建者 Johan V M

Aug 21, 2020

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

创建者 Forest W

Jan 9, 2018

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

创建者 Chris H

May 23, 2016

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

创建者 Marcus S

Feb 11, 2016

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

创建者 Gayathri N

Sep 21, 2020

Wonderful foundational course to understand the basics of machine learning.

创建者 Sarah S

May 31, 2017

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

创建者 SATHYANARAYANAN S

Sep 10, 2017

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

创建者 Sandro G

Oct 13, 2017

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