Tutorial on machine learning and data mining

Abstract

The ability to learn from observations and to modify our understanding of the world based on experience is an essential aspect of intelligent behavior. Machine learning has thus become an important sub-area of artificial intelligence research and has yielded a number of interesting results about how it is possible to build computer systems that learn as well as insights into the process of learning. In addition, many new technologies have been developed which have been applied in the area of automatic learning from large databases. Searching large databases for hidden relationships is the focus of the new area known as data mining, which is being applied increasingly to search large databases for bidden nuggets of information. In this tutorial we will quickly introduce the related fields of machine learning and data mining. The tutorial will run for two hours. The first hour will be an introduction to machine learning, and the second will be a more in depth look at induction and data mining and how these fields extend from machine learning.