Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...
Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...
2. Gaussian filters : Kalman, Information... 3. Nonparametric filters: Histogram, Particle... III. Machine Learning 1. Neural Nets : perceptron, multi-layered ...
IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...