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

3,107 个评分
589 条评论


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....


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

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.


426 - 实用机器学习 的 450 个评论(共 579 个)

创建者 Ramiro A

Aug 31, 2016

Nice course, Gives a god insight on what can me done with R and Predictions

创建者 Daniel U

Feb 17, 2016

Fast paced and little focused on the algorithms but quite useful overall.

创建者 Matthew L

Jan 6, 2016

Really good overview of machine learning techniques and model evaluation.

创建者 Bhawani P

Jan 6, 2017

briefly summarised the machine learning algorithms. Good place to start!

创建者 S M H R

Feb 10, 2016

A good course where you can learn how ML algorithms work practically.

创建者 Saurabh K

Mar 9, 2017

Very useful course to develop level knowledge in machine learning.

创建者 Johnny C

Oct 23, 2018

It was in general nice course. However, quizzes need improvement.

创建者 Karthik R

Aug 7, 2017

Bit tough, but I will have to say, good introductory course.

创建者 Coral P

Aug 18, 2017

The project is good in letting us practise what we learnt

创建者 Nguyen T T

Apr 19, 2018

Thank you! My teacher. The course very good. Many thanks

创建者 Shobhit K T

Dec 18, 2017

Great course with practical insights on machine learning

创建者 Minki J

Dec 28, 2017

good to know many concepts of machine learning model.

创建者 Shikhar K D

Oct 1, 2020

A very helpful course in this specialization series.

创建者 Diego T B

Nov 7, 2018

Very useful. The models were very easy to understand

创建者 Grigory S

Aug 28, 2018

A bit short on practical aspects of different models

创建者 Alfredo M

Aug 22, 2016

Excelente curso. Ótimo conhecimento dos instrutores.

创建者 Carlos R

May 27, 2018

Great Course! I have learned a lot of new things.

创建者 Steve d P

Mar 20, 2016

Nice, other courses will go more in depth though.

创建者 Stephan H

Aug 12, 2017

Very challenging course. I learned a lot. Tanks.


May 1, 2020

not so pratical based on the current situation

创建者 Manuel C

Dec 26, 2017

I feel I could have master the subjects better

创建者 Rui W

Aug 27, 2017

know some packages of machine learning using R

创建者 Alia E

Jul 13, 2018

Really could have used a few more examples.

创建者 Sakib S

Mar 14, 2019

Include more swirl practice problems.

创建者 Nilrey J D C

Dec 1, 2017

Good introduction to machine learning