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Introduction: Machine Intelligence, Well-posed Machine Learning/Data Mining Problems, Data representation, Domain knowledge, Forms of Learning. Supervised Learning: Learning from Observations, Generalization Performance, Heuristic Search in Inductive Learning, Cross-validation, Measures of assessing accuracy of Predictions. ................
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