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Optimization Concepts For Data Science And Artificial Intelligence

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What you will learn

  • This course focuses on linear, nonlinear, and mixed-integer linear optimization concepts in SAS Viya.
  • Participants 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.
  • The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course.
  • Shareable Certificate Earn a Cerfiticate upon completion
  • On Demand or Face to Face Start instantly and learn at your own schedule
  • Flexible Schedule Set and maintain flexible deadlines
  • Intermediate For those with working experience or likely to have completed foundation level training  
  • English Subtitles: English

This course consists of 4 lessons

Introduction to Mathematical Optimization: Introduction - A simple example - The OPTMODEL procedure.

Linear Programming: Introduction 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) - Applied data envelopment analysis (self-study) - Reading SAS data sets (self-study).

Nonlinear Programming: Introduction to nonlinear programming - Solving nonlinear programming problems using the OPTMODEL procedure.

Integer and Mixed-Integer Linear Programming: Introduction to integer and mixed-integer linear programming - Solving integer and mixed-integer linear programming problems using PROC OPTMODEL.

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Are you ready to begin learning exceptional new skills?

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