This Optimization Concepts for Data Science and Artificial Intelligence training course focuses on linear, nonlinear, and mixed-integer linear optimization concepts in SAS Viya. You will learn 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. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course.
By attending Optimization Concepts for Data Science and Artificial Intelligence workshop, delegates will learn to:
- Identify and formulate appropriate approaches to solving various linear, mixed-integer linear, and nonlinear optimization problems
- Create optimization models commonly used in industry
- Solve optimization problems using the OPTMODEL procedure in SAS
- Comfortable with data manipulation using basic SAS tools.
- Some knowledge of linear programming concepts and matrix algebra is helpful but is not required.
The Optimization Concepts for Data Science and Artificial Intelligence class is ideal for:
- Anyone who want to develop the optimization foundation necessary to work as a data scientist, especially those with a strong background in applied mathematics