Chapter01.ppt

Machine Learning (ML) and Knowledge Discovery in Databases (KDD) Instructor: Rich Maclin [email_address] Texts: Machine Learning , Mitchell Notes based on Mitchell’s Lecture Notes

Course Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Course Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What is Learning? ,[object Object],[object Object],[object Object],[object Object]

Why Machine Learning? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Typical Data Analysis Task ,[object Object],[object Object],[object Object],[object Object],[object Object]

Credit Risk Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Analysis/Prediction Problems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Tasks too Hard to Program ,[object Object]

STANLEY: Stanford Racing ,[object Object],[object Object],[object Object],[object Object]

Software that Customizes to User

Defining a Learning Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Key Questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Types of Training Experience ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Types of Training Experience (cont) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Choosing Target Function ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Representation of Target Function ,[object Object],[object Object],[object Object],[object Object],[object Object]

Choose Weight Tuning Rule ,[object Object]

Some Areas of Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object]

Classification/Concept Learning ,[object Object],[object Object],[object Object]

Unsupervised Learning ,[object Object],[object Object],[object Object],[object Object]

Reinforcement Learning ,[object Object],[object Object],[object Object]

Analytical Learning ,[object Object],[object Object]

The Present in Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The Future of Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What is Knowledge Discovery in Databases (i.e., Data Mining)? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Related Disciplines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Issues in Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Chapter01.ppt

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Chapter01.ppt