#25 Unconstrained Multivariate Optimization | Part 2 | Data Science for Engineers

Welcome to 'Data Science for Engineers' course ! This lecture expands on unconstrained optimization to cover multivariate functions, where the objective function has multiple variables. It discusses: Conditions for optimality in multivariate functions Numerical methods for solving multivariate optimization problems, particularly gradient descent Applications of these techniques in data science and machine learning NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106179 #MultivariateOptimization #UnconstrainedOptimization #NumericalMethods