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Optimisation for Machine Learning: Theory and Implementation (Hindi)

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Machine Learning - Overview

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Basics of Linear Algebra: Linear Independence

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Linear Algebra: Rank of a matrix

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Linear Algebra - Subspaces of a matrix -1

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Linear Algebra - Subspaces of a matrix -2

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Linear Algebra -- Null space

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Programming Eigen Decomposition using Python

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Optimisation Problems

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Gradient of a Vector Valued Function -1

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Gradient of a Vector Valued Function -2

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Neural Netowrks - Overview

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Neural Netowrks - Backpropagation

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Optimisation - Introduction to optimisation problems

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Optimisation - Relaxation and approximate convergence

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Optimisation - First Order Optimality Condition

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