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Lecture 1
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Lecture 15: Query Processing and Optimization
Lecture 44
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Lecture 22: Mod-2 Lec-15 Machine Foundations-3
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Lecture 25: Multilayer Feedforward Neural networks with Sigmoidal activation functions;
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Lecture 17
Lecture 23: Fluid Flow Applications Part - II
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Lecture 9: Composition of State Machines (ASV)
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Lecture 1: Introduction and Objectives of the course
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Lecture 20: Storage Allocation and Garbage Collection
Lecture 12: Extended Approaches for Working Microsystems
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Lecture 35: Skal 37 - Metallization Problems and Failure Mechanisms
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Lecture 4: Mod-01 Lec-04 Lecture-04-Optimality Conditions for Function of Several Variables (Contd.)
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