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Lecture 4: Estimating Bayes Error; Minimax and Neymann-Pearson classifiers
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Lecture 15: Mean temperature and Heat Capacity Effects
Lecture 26: Rotational Motion - VI
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Lecture 30: Adaptive equalizer implementation, Sample/Hold based equalizer
Lecture 17: Solution To Linear Equations
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Lecture 27: Creating Digital Clock by using QTimer and QDateTime in QT
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Lecture 26: Mod-01 Lec-26 Introduction to Compressible Flow
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Lecture 17: Transition Curve & Widening of Track
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Lecture 23: System identification Introductory Concepts
Lecture 19: Mod-02 Lec-06 Dispersion Models (Contd.)
Lecture 33: Installing OpenSSH in Ubuntu and Connect to Ubuntu from Windows using SSH
Lecture 7: Diode as a GATE
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Lecture 9: Choice of nodal versus mesh analysis; Circuit theorems: Pushing a voltage source
Lecture 12: Java Game Development - 12 - Main Movie Loop
Lecture 29: Learning Weights in RBF networks; K-means clustering algorithm
Lecture 32: L32-Use of EHS Theory for analysis
Lecture 7: Error Bounds and Iterative Methods for Solving Linear Systems
Lecture 24: Logarithmic Scale Discretization Dyadic Discretization
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