Uncategorized

Advanced Analytics
Ricky Tharrington 1
Parallel Processing in SAS Viya

Most computers can execute operations in parallel due to their multicore infrastructure. Performing more than one operation simultaneously has the potential to speed up most tasks and has many practical uses within the field of data science. SAS Viya offers several products that facilitate parallel task execution. Many of these

Advanced Analytics | Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Carlos Pinheiro 4
Optimal tour of Brisbane based on a multi-modal transportation system

A few months ago, I published an article about network optimization and how to find an optimal tour when visiting multiple places of interest by using different types of transportation, like buses, trains, tram, metro, and even walking. For a real-world case, I decided to run these optimal tours in

Advanced Analytics
Natalia Summerville 3
Maximize product quality with Optimization and Machine Learning models

Machine Learning models are becoming widely used to formulate and describe processes’ key metrics across different industry fields.  There is also an increasing need for the integration of these Machine Learning (ML) models with other Advanced Analytics methodologies, such as Optimization. Specifically, in the manufacturing industry, SAS explored state-of-the-art science

Advanced Analytics
1
Automated linearization in SAS Optimization

Linear programming (LP) and mixed integer linear programming (MILP) solvers are powerful tools. Many real-world business problems, including facility location, production planning, job scheduling, and vehicle routing, naturally lead to linear optimization models. Sometimes a model that is not quite linear can be transformed to an equivalent linear model to reduce

1 10 11 12 13 14 31