（中文）人工智能与大数据

Teacher

Marcello Pelillo

First day of classes

July 1 2024

Last day of classes

July 9 2024

Course Credit

1

Course Description

Course Introduction

Artificial intelligence (AI) requires a large amount of data as the basis for "thinking" and "decision-making". Big data also requires AI technology for data value operations. One of the main channels for data application is the artificial intelligence product, i.e., the agent. The greater the amount of data provided to the agent, the better the operation effect of the agent will be. The agent needs a lot of data for "training" and "validation", so as to ensure the reliability and stability of operation. This course introduces the basic theories, methods and applications of artificial intelligence and big data.

Objective

At present, the technology related to big data has become mature, and the related theoretical system has been gradually improved. However, artificial intelligence is still in the early stage of development, and the theoretical system still has huge room for development. From a learning perspective, if learning from big data is a good choice, the transition from big data to artificial intelligence will also be relatively easy. In general, there is no question of which is better between the two technologies, and there is a lot of room for development. This course begins with recognizing and understanding the concepts of big data and artificial intelligence, and aims to make students understand the difference and connection between big data and artificial intelligence.

Assignments (essay or other forms)

2 regular homework (40%) + 1 course report (60%)

Text Books and Reading Materials

[1]Anand Deshpande,Manish Kumar,《Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques》, Packt Publishing, 2018.

[2]Fernando Iafrate,《Artificial Intelligence and Big Data: The Birth of a New Intelligence》, Wiley, 2018.