Chevron Left
返回到 实用机器学习

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
3,204 个评分

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

JC

Jan 16, 2017

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

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

筛选依据:

226 - 实用机器学习 的 250 个评论(共 608 个)

创建者 Raj M

Nov 12, 2016

创建者 Margaret O

Sep 17, 2020

创建者 Dewald O

Feb 24, 2019

创建者 Yong-Meng G

Jun 19, 2017

创建者 Shivanand R K

Jun 21, 2016

创建者 Martin S

Feb 26, 2016

创建者 Umair R

Aug 29, 2019

创建者 Amarante G

May 31, 2018

创建者 Prohnițchi V

Dec 31, 2017

创建者 Hariharan D

Sep 20, 2017

创建者 Dora M

Mar 30, 2019

创建者 Bopeng Z

Jul 31, 2017

创建者 FARZAD R

Jun 16, 2017

创建者 Filipe M d L

Oct 26, 2020

创建者 César A

Jul 12, 2020

创建者 VENKATESH G S

Oct 30, 2017

创建者 Chinmoy D

Sep 10, 2017

创建者 Amanyiraho R

Jan 28, 2020

创建者 AMY B P

Mar 21, 2020

创建者 Leihong W

Dec 13, 2017

创建者 Atul K S

Nov 11, 2017

创建者 Tinguaro B

Oct 15, 2017

创建者 Arunkumar M R

Sep 30, 2017

创建者 Felix A

Sep 20, 2016

创建者 Sindre F

Aug 1, 2016