Optimization Concepts for Data Science and Artificial Intelligence
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.
A quién va dirigidoThose who want to develop the optimization foundation necessary to work as a data scientist, especially those with a strong background in applied mathematics
Before enrolling in this course, you should be comfortable with data manipulation using basic SAS tools. You can gain this course-specific knowledge in data manipulation by completing the Programación SAS 1: Introducción course. Some knowledge of linear programming concepts and matrix algebra is helpful but is not required.
Este curso utiliza SAS Optimization software.
Introduction to Mathematical Optimization
|Título||Duración||Periodo de Acceso||Idioma||Precio||Añadir Inscripción|
|Optimization Concepts for Data Science and Artificial Intelligence (Version 2.5 and 2.2)||14.0 horas||180 días||English||600 EUR|