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Outline. Motivating Machine LearningPredictorsEvaluationInterpretationSoftwareWEKA. Motivating Machine Learning. Machine Learningstudy of computer algorithms that improve automatically through ?experience"extract information from data automatically, by computational and statistical methodsSu
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1. Machine Learningand WEKA Roman Eisner
Wishart Lab Presentation
Sept 21, 2007
2. Outline Motivating Machine Learning
Predictors
Evaluation
Interpretation
Software
WEKA
3. Motivating Machine Learning Machine Learning
study of computer algorithms that improve automatically through “experience”
extract information from data automatically, by computational and statistical methods
Supervised Learning
Mapping a set of inputs, to a desired output
Regression, Classification
4. Motivating Machine Learning Successful Applications in :
natural language processing
search engines
medical diagnosis
bioinformatics and cheminformatics
detecting credit card fraud
stock market analysis
classifying DNA sequences
speech and handwriting recognition
object recognition in computer vision
game playing
robot locomotion
5. Predictors Given input X = {x1, x2, … xp} produce an output Y:
e.g. Given an image of a face, predict gender
e.g. Given urine metabolite profile, predict cancer state
e.g. Given protein sequence, predict function
…
Terminology:
xi = feature
Y = label