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Advanced Analytics | Artificial Intelligence | Machine Learning
Yue Qi 0
Recurrent neural networks: An essential tool for machine learning

Sequence models, especially recurrent neural network (RNN) and similar variants, have gained tremendous popularity over the last few years because of their unparalleled ability to handle unstructured sequential data. The reason these models are called “recurrent” is that they work with data that occurs in a sequence, such as text

Customer Intelligence
Suneel Grover 0
SAS Customer Intelligence 360: Location analytics meets digital intelligence

When data meets geography, use cases revolve around mapping and spatial analytics. But what happens when you combine digital analytics and powerful visualization for customer location analysis? Leveraging data collection mechanisms, SAS 360 Discover captures first-party behavioral information across the entire digital customer experience with a brand’s websites and mobile

Data for Good | SAS Events | Students & Educators
Trent Smith 0
Students showcase power of open data to help government

Open data is critical to research, particularly at universities. The many university students that attend SAS Global Forum bring an energy and vitality to the conference that is unmistakable. They’re everywhere…in sessions, social activities, out on the town and, of course, the academic events. This year, 150 of them graced

Advanced Analytics | Data Management | Programming Tips
Leonid Batkhan 0
SAS tools for GDPR privacy compliant reporting

The European Union’s General Data Protection Regulation (GDPR) taking effect on 25 May 2018 pertains not only to organizations located within the EU; it applies to all companies processing and holding the personal data of data subjects residing in the European Union, regardless of the company’s location. Here are four selected SAS tools for GDPR that allow you to protect personal data in SAS reports by suppressing counts in small demographic group reports.

Data Visualization
Rick Wicklin 0
The 80-20 rule for blogs

You've probably heard about the "80-20 Rule," which describes many natural and manmade phenomena. This rule is sometimes called the "Pareto Principle" because it was discovered by Vilfredo Pareto (1848–1923) who used it to describe the unequal distribution of wealth. Specifically, in his study, 80% of the wealth was held

Advanced Analytics
Susan Kahler 0
How to build deep learning models with SAS

SAS® supports the creation of deep neural network models. Examples of these models include convolutional neural networks, recurrent neural networks, feedforward neural networks and autoencoder neural networks. Let’s examine in more detail how SAS creates deep learning models using SAS® Visual Data Mining and Machine Learning. Deep learning models with

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