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DM1: Introduction: Machine Learning and Data Mining - Sorry

DM1: Introduction: Machine Learning and Data Mining - Sorry

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Course Outline<br />

• <strong>Machine</strong> <strong>Learning</strong><br />

• input, representation, decision trees<br />

• Weka<br />

• machine learning workbench<br />

• <strong>Data</strong> <strong>Mining</strong><br />

• associations, deviation detection, clustering, visualization<br />

• Case Studies<br />

• targeted marketing, genomic microarrays<br />

• <strong>Data</strong> <strong>Mining</strong>, Privacy <strong>and</strong> Security<br />

• Final Project: Microarray <strong>Data</strong> <strong>Mining</strong> Competition<br />

2

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