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Lecture 42: Examples of Uses or Application of Pattern Recognition; And When to do clustering
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Lecture 4: Mod-01 Lec-04 Energy Transfer - impulse and Reaction Machines, efficiencies of Fluid Machines
Lecture 30: Building Piece wise Linear Scaling Function,Wavelet
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Lecture 12: Second Law and Available Energy-III
Lecture 28: I/O and Processes
Lecture 25: Numerical Derivations
Lecture 16: AI and Probability; HMM
Lecture 13: How to install latest Wine (to Run Windows applications) on Ubuntu Linux
Lecture 23: Design of Columns Part-V
Lecture 21: else and elif
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Lecture 19: EECE 251 - BJT Tutorial B (saturation example)
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Lecture 16
Lecture 19: Android Application Development Tutorial - 19 - Setting up an ArrayAdapter
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