Lecture Notes

The purpose of these notes

From Computerization, to Digitalization, and to Intelligentization - A Historical Perspective

Prerequisites: Python & CS

Prerequisites: Math

Data Chain: Collection, Management, Preprocessing, and Transformation

Data Chain: Data Analysis

Data Chain: Application and Visualization

Data Assets

Modeling: Introduction and Basic Regression and Classification

Modeling: Classic Models

Modeling: Artificial Neural Networks and Deep Learning

Modeling: Unsupervised Learning

Modeling: Distributed AI

• Case study: Text Analysis and Modeling

• Case study: Data Driven Social Analytics and Modeling

Please contact me ([email protected]) if you find any error or have suggestion to these notes.