2020-21 Math/Prog

Partial Differentiation and Gradients

Back propagation and Automatic Differentiation

Linearization and Multivariate Taylor Series

NONCONVEX OPTIMIZATION IN MACHINE LEARNING

Significance of Gradient Descent in Machine Learning

BACKPROPAGATION AND AUTOMATIC DIFFERENTIATION

STOCHASTIC GRADIENT DESCENT IN MACHINE LEARNING

BACKPROPAGATION AND AUTOMATIC DIFFERENTIATION

LINEARIZATION AND MULTIVARIATE TAYLOR SERIES

Significance of optimization in linear regression using computer programming methods

Multivariate Taylor Series

CONVEX OPTIMIZATION FOR LINEAR PROGRAMMING PROBLEMS

BACKPROPAGATION AND AUTOMATIC DIFFERENTIATION

Lagrange Multiplier method used in Machine Learning to solve Constrained Optimization Problems

SIGNIFICANCE OF STOCHASTIC GRADIENT DESCENT IN MACHINE LEARNING

TAYLOR SERIES AND LINEARIZATION

Implementation of Research and discovery through Experiential Learning Functions