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学生对 Johns Hopkins University 提供的 Practical Machine Learning 的评价和反馈

4.5
3,257 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

CS

Feb 11, 2018

Not as detailed as some others in the specialization which is a shame but good none the less. The videos go through the info quickly so be prepared to go back over.

HP

Jan 15, 2017

It was like opening up a door to a whole new world. I have discovered new tools that I will thoroughly enjoy to use for the exploration of data and for predictions. Thanks Team Coursera !

筛选依据:

176 - Practical Machine Learning 的 200 个评论(共 622 个)

创建者 thetpyae s

Aug 20, 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 1, 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 8, 2018

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

创建者 Ismail M

Jan 28, 2022

Amazing and breif work for a wide discipline ,Thank you for this course :).

创建者 Chris H

May 22, 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 Michael L P

Jan 17, 2022

Excellent course - I have learned a great deal and really appreciate it!

创建者 Sandro G

Oct 13, 2017

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

创建者 Hernan C Y

Mar 14, 2017

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

创建者 Massimiliano

Feb 17, 2017

In my opinion, the best course of the entire Data Science Specialization

创建者 Diana S

Feb 10, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

创建者 Mehrdad P

Nov 20, 2019

Overall was a great course for an overview of the techniques available.

创建者 Filippo C

May 3, 2020

It was very interesting. It sparked the interest to deepen this topic!

创建者 Robert J C

Oct 27, 2019

It gets harder but fun...R, as well Python and Matlab, can do AI well.

创建者 Bruno R S

Mar 7, 2019

a quick introduction to the basic algorithms for machine learning in R

创建者 Mehdi Z

Mar 25, 2016

Hands-on training, practical introduction to machine learning using R!

创建者 Ray W

Mar 21, 2016

Principle and practices. Good coverage on topics to get you started!