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Lecture 3: The Bayes Classifier for minimizing Risk
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Lecture 24: Compare Map Implementations
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Lecture 2: GRAMMARS AND LANGUAGES GENERATED
Solving Linear Inequalities (Khan Series)
Lecture 35: POST'S CORRESPONDENCE PROBLEMS (Contd) TIME AND TAPE COMPLEXITY OT TM I
Lecture 24: Mod-2 Lec-17 Well Foundations-1
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Lecture 1: GRAMMARS AND NATURAL LANGUAGE PROCESSING
Lecture 7
Lecture 27: Levels of Reliability
Lecture 22: Partial Molar Property Estimation (cont.,) Excess Property
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Lecture 7: Tides, Energy, Momentum
Lecture 39: The Monodromy Matrix and the Saltation Matrix
Lecture 2: Digital Signal Processing Introduction Contd
Lecture 33: Mod-01 Lec-33 Non-linear Equations & Model Tests
Geometry
Lecture 4: Gravity--Holding the Universe Together
Lecture 35: Input / Output Subsystem:Interfaces and buses II
Lecture 29: Designing Embedded Systems - II
Lecture 1: Introduction to Cryogenic Engineering
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Lecture 37: Fourier Series - II
Lecture 17: Linear Discriminant functions for multi-class case; multi-class logistic regression
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Lecture 20: Mod-03 Lec-10 Modified Lindstedt Poincare' technique
Lecture 21
Lecture 17: Chottky effect and field emission
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