Optimization Concepts for Data Science and Artificial Intelligence
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.În urma acestui curs, veți învăța să
Cine ar trebui să participe la cursThose 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 SAS Programming 1: Essentials course. Some knowledge of linear programming concepts and matrix algebra is helpful but is not required.
Acest curs este despre SAS Optimization software.
Introduction to Mathematical Optimization
|Data||Locație||Orar||Limba||Preț (fără TVA)||Adaugă în coș|
|13 IAN 2020 Connected Class||Live Web||10:00 AM-06:00 PM EET||English||602 EUR|
|22 IAN 2020 Connected Class||Live Web||10:00 AM-06:00 PM EET||English||602 EUR|
|05 IUN 2020 Connected Class||Live Web||10:00 AM-06:00 PM EEST||English||602 EUR|
|12 AUG 2020 Connected Class||Live Web||10:00 AM-06:00 PM EEST||English||602 EUR|
|11 NOI 2020 Connected Class||Live Web||10:00 AM-06:00 PM EET||English||602 EUR|
|25 NOI 2019 Connected Class||Live Web||10:30 AM-06:30 PM EET||French||602 EUR|
|07 MAI 2020 Connected Class||Live Web||10:30 AM-06:30 PM EEST||French||602 EUR|