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CS2410 Cheat Sheet (DRAFT) by

Probability

This is a draft cheat sheet. It is a work in progress and is not finished yet.
 

Bayes

Revising Beliefs
 
Initial Odds
 
Likelihood Ratio
 
Revised Odds
Likelihood ratio x initial odds
 
Hypothesis
Cause
 
Evidence
Effect
 
Prior Probab­ility
P(Hypo­thesis)
 
Likelihood
P(Evid­enc­e|H­ypo­thesis)
 
Jointly
P(E,H) = P(E|H)P(H)
 
Posterior Probab­ility
P(Hypothesis|Evidence)
= P(E|H)P(H)/P(E)
= P(E,H)­/P(E)
 
Prior Odds
P(H):P(not H)
 
Posterior Odds
P(E|H)­P(H­):P­(E|not H)P(not H)
 
Bayesian Networks
graph repres­ent­ation for random variables
 

Line Regression

Least Square
  
procedure of finding the equation of the line which best fits a given set of paired data
 
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