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ETHEM ALPAYDIN The MIT Press, 2010
 

Summary: ETHEM ALPAYDIN
© The MIT Press, 2010
alpaydin@boun.edu.tr
http://www.cmpe.boun.edu.tr/~ethem/i2ml2e
Lecture Slides for
Probability and Inference
Result of tossing a coin is {Heads,Tails}
Random var X {1,0}
Bernoulli: P {X=1} = po
X (1 po)(1 X)
Sample: X = {xt }N
t =1
Estimation: po = # {Heads}/#{Tosses} = t
xt / N
Prediction of next toss:
Heads if po > ½, Tails otherwise
3Lecture Notes for E Alpaydin 2010 Introduction to Machine Learning 2e © The MIT Press (V1.0)
Classification
Credit scoring: Inputs are income and savings.
Output is low-risk vs high-risk

  

Source: Alpaydın, Ethem - Department of Computer Engineering, Bogaziçi University

 

Collections: Computer Technologies and Information Sciences