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Tech

Programming Tips
Jody Carlton 0
Using locale-specific format catalogs to create reports in multiple languages

This blog post, inspired by my work on this topic with a SAS customer, focuses on how to create and use locale-specific informats to read in numeric values from a Microsoft Excel file and then transform them into SAS character values. I incorporated this step into a macro that transforms ones and zeroes from the Excel file into meaningful information for multilingual readers.

Programming Tips
Aubrey Barfield 0
All hail the SAS programmer!

SAS offering free learning resources in celebration of programmers For more than 40 years, SAS programmers have crafted software and solutions that transform the world. From statistics to data science, to analytics and artificial intelligence, people writing code have architected a new economy with incredible opportunities. SAS Programmer Week honors

Advanced Analytics | Analytics | Data for Good
Melanie Carey 0
Take customer care to the next level with automated prediction in SAS Visual Analytics

What is automated prediction? Automated prediction, in less than a minute, runs several analytic models (such as decision trees, gradient boosting, and logistic and linear regression) on a specific variable of your choice. Most of the remaining variables in your dataset are automatically analyzed as factors that might influence your specified variable. They are called underlying factors. SAS then chooses the one model (champion model) that most accurately predicts your target variable. The model prediction and the underlying factors are then displayed. You can adjust the values of the underlying factors to determine how the model prediction changes with each adjustment.

Learn SAS
Marinela Profi 0
SAS and Open-Source Model Management (free eBook)

Turn analytical models into business value and smarter decisions with this special collection of papers about SAS Model Management. Without a structured and standardized process to integrate and coordinate all the different pieces of the model life cycle, a business can experience increased costs and missed opportunities. SAS Model Management solutions enable organizations to register, test, deploy, monitor, and retrain analytical models, leveraging any available technology – including open-source models in Python, R, and TensorFlow –into a competitive advantage.

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