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Lecture 3: Karel and Java
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Lecture 8: Kinematics of fluid motion I
Multiplying Polynomials
Lecture 10: Integration
Lecture 40: Support Vector Machine (SVM)
Functions (Khan Series)
Lecture 8: Adaptive learning rate
Lecture 27: Mod-26 Lec-27 Combustion Spray Process
Calculators
Lecture 15: Frequency Compressive FeedBack Demodulator
Lecture 30: iOS Development with Swift Tutorial - 30 - Collision Detection
Lecture 39: Futuristic Top ics in Robotics - 3
Lecture 11: Introduction to Automatic Control
Lecture 13: Simulation of Harmonic Oscillators
Lecture 28: Mod-01 Lec-28 Lecture-28-Compound DC Generators
Lecture 13: Push and Pull
Lecture 9: Mod-02 Lec-02 Basic concepts 2
Lecture 21: Ruby Programming Tutorial - 21 - Multiple Line String Variables
Lecture 30: Testing-Part-I
Lecture 8: Numerical Integration
Skip Counting
Lecture 3: Big Data and Hadoop 2 | Hadoop Tutorial 2 |Big Data Tutorial 2 |Hadoop Tutorial for Beginners - 2
Lecture 11: Mod-02 Lec-06 Metal Transfer and Melting Rate
Lecture 11: PHP Tutorial - 11 - Associative Arrays
Lecture 8: Shannons Theory (Contd...1) I
Quadratic Inequalities
Lecture 8: Lazy loading in LINQ to SQL
Lecture 2: Pygame (Python Game Development) Tutorial - 2 - Creating a Basic Framework
Lecture 21: Mod-01 Lec-20 Offshore Structures - II
Lecture 26: TRANSFORMATION OF RANDOM VARIABLES-3
Lecture 24: Texture Based Normal Map
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