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Lecture 16: Carbohydrates I
Lecture 25: Multilayer Feedforward Neural networks with Sigmoidal activation functions;
Lecture 1: Mod-01 Lec-01 Lecture-01-Introduction to Gas Dynamics & Review of Basic Thermodynamics
Integer Operations
Lecture 19: Java Programming Tutorial - 19 - else if Statement
Lecture 29
TED Talks
Lecture 6: Oxidation II: Graphs, Dopant Redi
Lecture 20
Lecture 32: Power Amplifier (contd..) II
Lecture 2: Introduction to Pointers
Lecture 2: Unreal Development Kit UDK Tutorial - 2 - How to Move Around
Lecture 10: Examples of Bayes Decision Rule
Lecture 39: Measurement of Viscosity
Lecture 2: AFD02 - The Butterworth approximation
Lecture 39: FIR Digital Filter Design by Windowing
Lecture 23: MongoDB vs Cassandra
Lecture 5: C Programming Tutorial - 5 - Comments
Lecture 2
Lecture 9
Lecture 36: Neuro-Adaptive Design -- I
Lecture 19: iOS Development with Swift Tutorial - 19 - Storyboards and Scenes
Lecture 12: Mod-01 Lec-12 Solution of system of linear equations
Lecture 6: The Algebraic Eigenvalue Problem
Lecture 19: Lighting Applications
Lecture 17: JavaFX Properties
Google Computer Applications
Lecture 35
Lecture 19: Zebra File System
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