We will use prescriptive analytics and optimization to select a stock portfolio that maximizes returns while taking risk tolerance into account.
While much has been written about model interpretability to address these challenges, another approach is to turn a black-box model into a more interpretable model by constraining it to preserve simpler, monotonic relationships
This post covers how to produce the contents of SAS, Python, and R Jupyter notebooks in other file formats. I’ll outline multiple methods including a point-and-click method, how to write inline code directly in the notebook, and finally using the command line.
I recently read an article that describes ways to compute confidence intervals for the difference in a percentile between two groups. In Eaton, Moore, and MacKenzie (2019), the authors describe a problem in hydrology. The data are the sizes of pebbles (grains) in rivers at two different sites. The authors [...] The post How to estimate the difference between percentiles appeared first on SAS Blogs.
Epipoli uses SAS artificial intelligence and customer intelligence solutions to craft relevant, real-time offers for customers.Save to Library
Community-based genetics study uses SAS machine learning and artificial intelligence to improve population health in Nevada.Save to Library
American Honda turns to SAS to help make sense of warranty and service data.Save to Library
POSTS FROM RELATED COMPANIES
Customer Lifetime Value Part 1: Estimating Customer Lifetimes
Learn why customer retention matters to customer lifetime value estimation and how Databricks can help you overcome common challenges in...