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

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

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

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

Mod-01 Lec-06 Eigen Value and Eigen Vectors

Mod-02 Lec-10 Examples of Bayes Decision Rule

Mod-02 Lec-09 Types of Errors

Mod-02 Lec-12 Training Set, Test Set

