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INTRODUCTION TO   Machine Learning ETHEM ALPAYDIN © The MIT Press, 2004 [email_address] http://www.cmpe.boun.edu.tr/~ethem/i2ml Lecture Slides for
CHAPTER 1:   Introduction
Why “Learn” ? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What We Talk About When We  Talk About“Learning” ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Mining ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Machine Learning? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learning Associations ,[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object],Discriminant:  IF  income  > θ 1  AND  savings  > θ 2   THEN  low-risk  ELSE  high-risk
Classification: Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Face Recognition Training examples of a person Test images AT&T Laboratories, Cambridge UK http://www.uk.research.att.com/facedatabase.html
Regression ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],y  =  wx + w 0
Regression Applications ,[object Object],[object Object],α 1 =  g 1 ( x , y ) α 2 =  g 2 ( x , y ) ,[object Object],α 1 α 2 ( x , y )
Supervised Learning: Uses ,[object Object],[object Object],[object Object],[object Object]
Unsupervised Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reinforcement Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources: Datasets ,[object Object],[object Object],[object Object],[object Object]
Resources: Journals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources: Conferences ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Introduction to Machine Learning

  • 1. INTRODUCTION TO Machine Learning ETHEM ALPAYDIN © The MIT Press, 2004 [email_address] http://www.cmpe.boun.edu.tr/~ethem/i2ml Lecture Slides for
  • 2. CHAPTER 1: Introduction
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Face Recognition Training examples of a person Test images AT&T Laboratories, Cambridge UK http://www.uk.research.att.com/facedatabase.html
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.