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

3,215 个评分


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....



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!


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


176 - 实用机器学习 的 200 个评论(共 610 个)

创建者 Jeffrey M H

Jun 10, 2019

创建者 Ajendra S

Nov 7, 2017

创建者 Lei M

Aug 23, 2017

创建者 Johan V M

Aug 21, 2020

创建者 Forest W

Jan 9, 2018

创建者 Ismail M

Jan 28, 2022

创建者 Chris H

May 23, 2016

创建者 Marcus S

Feb 11, 2016

创建者 Gayathri N

Sep 21, 2020

创建者 Sarah S

May 31, 2017


Sep 10, 2017

创建者 Michael L P

Jan 17, 2022

创建者 Sandro G

Oct 13, 2017

创建者 Camilo Y

Mar 14, 2017

创建者 Massimiliano

Feb 17, 2017

创建者 Diana S

Feb 11, 2016

创建者 Mehrdad P

Nov 20, 2019

创建者 Filippo C

May 3, 2020

创建者 Robert J C

Oct 27, 2019

创建者 Bruno R S

Mar 7, 2019

创建者 Mehdi Z

Mar 25, 2016

创建者 Ray W

Mar 21, 2016

创建者 Bojan B

Oct 14, 2018

创建者 Sebastian F

Jan 24, 2016

创建者 Roberto D

Jun 20, 2017