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M.Tech. Computer Engineering
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Lecture 26
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Lecture 25
Lecture 33: Support Vector Regression and ?-insensitive Loss function, examples of SVM learning
Lecture 22
Lecture 5: Micro-scale fluid mechanics
Mean Median Mode Range
Lecture 20: Clipping: Lines And Polygons
Lecture 1: Apche Solr Tutorial - 1
Lecture 5: Crystal Structure contd
Lecture 8: Problem Session 2 : Step,Impulse
Lecture 25: Representation of Periodic Signal
Lecture 7: Power Flow and Acoustic Admittance
Solving Quadratic Equations
Lecture 21: Buffer: Vector vs Stack
Lecture 7: Navigation Controllers
Lecture 44: HTML5 Tutorial - 44 - Drag and Drop
Exponential and Logarithmic Functions
Lecture 18: Complexity (Efficiency) of Algorithms
Lecture 15: Microsoft Excel 2013 Tutorial - 15 - Templates and Printing
Lecture 32: Decision feedback equalizers - elimination of noise enhancement
Lecture 5
Lecture 9: Set-up of VEPC and Investment Casting Processes
Lecture 11: The Asteroid Challenge: Will We Be Ready?
Lecture 21: Integrated Development, Water Legislation & Implementation Issues
Lecture 23: Image Impedance, Iterative Impedance - I
Lecture 14: Data Fitting : Linear Fit I
Lecture 16: Encapsulation, inheritance, shadowing
Lecture 26: jQuery Tutorial - 26 - Basic form field selection
Lecture 5: OS-SP08: Lecture 6: Chapter 4 (cont)
Lecture 34: Mod-01 Lec-34 BCJR Decoder
Lecture 1
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