Apsara Clouder Big Data special Skills certification: Customer group by customer characteristics

This authentication system explains the concept of customer clustering, application scenarios, common methods and clustering algorithms commonly used concepts and principles. The characteristics, algorithm components, application scenarios and application processes of Ali Cloud machine learning product PAI are introduced in detail, as well as clustering components. Finally, an experiment led students to use PAI’s clustering component and model evaluation component to solve a specific business problem of an enterprise. Students can refer to this experiment, combined with their own business and needs, learn to practice.

Details:

Apsara Clouder Big Data special Skills certification: Customer group by customer characteristics

(This course is the big data special skills certification of Alyun University Apsara Clouder: The relevant courses are divided into customer groups based on customer characteristics. Only free classes can be tried, and you need to buy a certification package to learn all classes and obtain the certificate.)

The certification process

1 Purchase Authentication

2 Study courses/online experiments

3 Online exam

4 Obtaining e-cert

This certification system explains the concept of customer clustering, application scenarios, common methods and the concept and principle of clustering algorithm commonly used, and introduces the characteristics, algorithm components, application scenarios and application processes of Ali Cloud machine learning product PAI in detail, and introduces clustering components in detail. Finally, an experiment led students to use PAI’s clustering component and model evaluation component to solve a specific business problem of an enterprise.

Through hands-on practice, students can independently use machine learning product PAI to conduct data mining experiments, which solves the problems of high threshold of data mining application, difficult development and long development cycle.

The content list

01

Customer clustering concept and application

This section describes the concept, application scenarios, and common methods of customer clustering.

02

Concept and principle of clustering algorithm

This paper introduces the concept, principle and application of clustering algorithm, and introduces the working steps of K-means clustering algorithm in detail.

03

Machine learning product PAI

This paper introduces the characteristics, algorithm components, application scenarios and application flow of MACHINE learning product PAI, and introduces clustering components in detail.

04

Aliyun machine learning platform PAI basic operation demonstration

Demonstrate the basic operation of machine learning PAI, through PAI to achieve some basic data analysis.

05

Experimental scenes and steps

This paper introduces how to use PAI’s clustering and model evaluation components to complete a data mining analysis and solve enterprise business problems.

06

[Online experiment] Classify customers by customer characteristics

In this experiment, by analyzing the user data of a telecom operator, users can be grouped to understand the needs of different groups and provide them with personalized services.

Official website of Ali Yun University (Official website of Ali Yun University, Innovative Talent Workshop under cloud Ecology)