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Lecture 23: Simplified Synchronous Machine Models
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Lecture 19: Lubircation Theory (Contd.)
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Lecture 24: Introduction to AOP
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Lecture 7: Seeing Functions as Data: Specific Plot Functions
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Lecture 33: Support Vector Regression and ?-insensitive Loss function, examples of SVM learning
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Lecture 42: CONCENTRATION INEQUALITIES
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Lecture 11: Molecular Dynamics II
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Lecture 12: Pipeline CPU - III
Lecture 20: MESFET Operation & I-V Characteristics
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