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Egocentric vision, systems, Human-in-the-loop interactive systems, 3D scene understanding

Comparison between performance of classifiers, Basics of statistics, covariance and their properties

Data condensation, feature clustering, Data visualization

Probability density estimation, Visualization and Aggregation, FCM and soft-computing techniques

Examples of real-life datasets

Syllabus - Artificial Intelligence and Machine Learning (AL603 (C))

Introduction to Robot Programming

Three Levels of Robot Programming

Understanding Robot Programming Language

Requirements of a Robot Programming Language

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