Data mining and machine learning Overview

First, the data mining tasks

Six common data mining tasks:

 

 1. Classification

 

 

2. clustering problem

 

 3. Regression

 

 4. Related issues

 

 5. Sequence problem

 

 6. The abnormality detection

 

 

Second, the data mining process

CRISP-DM: cross-industry standard data mining process

 

 

Various aspects of mission and objectives

 

 

Predictive model building and scoring process

Six task of classification and regression are all areas of the prediction model

 

 Third, build and use predictive models

 

 

Fourth, the machine learning algorithm classification

 

 

Data mining machine learning algorithms six tasks

 

 

 

Fifth, data mining, data warehouse and OLAP

Enterprise data mining and real application process

 

 

Star schema data warehouse design

 

 The basic concepts and techniques of OLAP

 

 The basic operation of OLAP

 

 Drill-down, such as quarter turn in January

Drill up, 2010's extremely, extremely into the general, that these Shanghai, Jiangsu, Zhejiang and Shanghai into

 

Sixth, the scientific data

 Two types of scientific data to solve problems

 

 Data Science team roles

 

 

Data Scientists

 

 Data scientists need to have a diversified knowledge and skills

 

 

Become data scientists