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Which machine learning algorithm should I use?

A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should I use?” The answer to the question varies depending on many factors, including: The size, quality, and nature…

5 machine learning mistakes – and how to avoid them

However, machine learning is not magic. It presents many of the same challenges as other analytics methods. In this article, we introduce some of the common machine learning mistakes that organizations must avoid to successfully incorporate…

Four ways SAS makes Hadoop easy

Bringing your data and processing to Hadoop can sometimes feel like an insurmountable task – but it doesn’t have to be that way. The same technologies and capabilities that have powered SAS Data Management for over a decade can make…

7 major areas of SAS innovations for Machine Learning

There are 7 major areas of SAS innovations for machine learning: Exploitation of all types of available digital data: texts, images, SQL or NoSQL databases: Hadoop can store and process petabytes of data without format constraints at a…

Visualizing Big Data with SAS Visual Analytics

Organizations of all types and sizes generate data each minute, hour and day. Everyone – from executives and departmental decision makers to call center workers and employees on production lines – hopes to learn things from collected data…

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