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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
2,967 个评分
563 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....

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MR

Aug 14, 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

Mar 01, 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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176 - 实用机器学习 的 200 个评论(共 557 个)

创建者 Sebastian F

Jan 24, 2016

Great course. Really educational and informative. Well taught too!

创建者 Roberto D

Jun 20, 2017

Methods to be applied in preparation for creating a data product.

创建者 Reza M

Jul 09, 2020

Excellent engaging course. At times difficult but very enjoyable

创建者 Alejandro B G

Feb 09, 2016

A great Course, my favorite into the Data Science Specialization

创建者 Gary R S

Dec 31, 2017

Excellent intro to machine learning with interesting projects.

创建者 PRAKASH J M

Dec 25, 2017

Pushed me to learn and experiment and make mistakes. Thank you

创建者 Aleksey K

Feb 10, 2016

Made many things clear. Perhaps, the best class in the series.

创建者 Vitalii S

Aug 01, 2017

No swirl exercises, but last project totally worth my time.

创建者 Rui R

Feb 06, 2017

One of the best courses in the Data Science Specialization,

创建者 Jose R C

Aug 16, 2016

The machine learning course every Data Scientist should do.

创建者 Harini A

Jun 08, 2020

Good course material and very practical oriented training

创建者 Erich F G

Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

创建者 Sebastian R

Sep 19, 2017

Great intro machine learning, you will know how to use it

创建者 Carlos M B B

Aug 10, 2017

This was one of the better courses in the series, thanks.

创建者 Anitha C

Jul 27, 2017

I enjoyed working on this course. There is a lot good and

创建者 Ozanb

Apr 21, 2017

Best course of the programme. Simple and explained well.

创建者 Harland H

Oct 01, 2018

Very informative and the project was fun to accomplish.

创建者 Ilia

Apr 27, 2016

One of the most valuable courses in the specialization!

创建者 Klever M

Jul 29, 2019

It was a great overview of the fascinating word of ML.

创建者 Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

创建者 Julien N

Dec 18, 2018

nice pace, good overview to start with modelling in R

创建者 Sanjeev K

Dec 16, 2018

Introductory course but it explains the basics easily

创建者 Alex Z

Dec 23, 2017

Good solid intro to the concepts of machine learning.

创建者 Dimitrios G

Jul 07, 2017

Amazing course. Short videos packed with information!

创建者 antonio q

Feb 27, 2018

it was great, simply though exhaustive, thanks a lot