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Computer Science - Pattern Recognition

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Mod-01 Lec-04 Clustering vs. Classification

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Mod-01 Lec-01 Principles of Pattern Recognition I (Introduction and Uses)

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Mod-01 Lec-02 Principles of Pattern Recognition II (Mathematics)

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Mod-01 Lec-03 Principles of Pattern Recognition III (Classification and Bayes Decision Rule)

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Mod-01 Lec-05 Relevant Basics of Linear Algebra, Vector Spaces

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Mod-01 Lec-06 Eigen Value and Eigen Vectors

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Mod-02 Lec-10 Examples of Bayes Decision Rule

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Mod-02 Lec-09 Types of Errors

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Mod-02 Lec-12 Training Set, Test Set

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Mod-01 Lec-07 Vector Spaces

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