Detail kurzu

Optimization Concepts for Data Science and Artificial Intelligence

EDU Trainings s.r.o.

Popis kurzu

This course focuses on linear, nonlinear, and mixed integer linear optimization concepts in SAS Viya. Students learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of diet formulation and portfolio optimization. Learn the OPTMODEL procedure and open source tools to formulate and solve optimization problems.

Obsah kurzu

Introduction to Mathematical OptimizationIntroduction.A simple example.The OPTMODEL procedure.Linear ProgrammingIntroduction to linear programming.Formulating and solving linear programming problems using the OPTMODEL procedure.Using index sets and arrays in the OPTMODEL procedure.Dual values and reduced costs in the simplex method (self-study).Reading and writing data in the OPTMODEL procedure.Nonlinear ProgrammingIntroduction to nonlinear programming.Solving nonlinear programming problems using the OPTMODEL procedure.Integer and Mixed Integer Linear ProgrammingIntroduction to integer and mixed integer linear programming.Solving integer and mixed integer linear programming problems using PROC OPTMODEL.Open Source InteractivitySAS Viya and open source integrationSAS Viya Python APIs.

Cieľová skupina

Those who want to develop the optimization foundation necessary to work as a data scientist, especially those with a strong background in applied mathematics
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