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SAS

  • Business Intelligence
  • 3 Case Studies
SAS provides advanced business analytics and business intelligent software and services to enable companies to optimize their operations.

May 22

Portfolio Optimization using SAS and Python

We will use prescriptive analytics and optimization to select a stock portfolio that maximizes returns while taking risk tolerance into account.

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Jun 03

Monotonic Constraints with SAS

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

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Jun 03

How to save Jupyter notebooks in assorted formats

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.

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Jun 03

How to estimate the difference between percentiles

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.

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Case Studies
Case Study : Epipoli | Machine Learning Helps Personalize The Gift Card Experience

Epipoli uses SAS artificial intelligence and customer intelligence solutions to craft relevant, real-time offers for customers.

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Case Study : Healthy Nevada Project | Health Breakthroughs Driven By Dna Analysis

Community-based genetics study uses SAS machine learning and artificial intelligence to improve population health in Nevada.

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Case Study : Honda | Analytics Turns Service Repair Data Into Cost Savings

American Honda turns to SAS to help make sense of warranty and service data.

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