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Machine Learning and WEKA

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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Machine Learning and WEKA

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    1. Machine Learning and 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

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