Move beyond spreadsheets to data mining, forecasting, optimization – and more
Welcome to this blog series on how to install SAS Analytics Pro on Viya on your personal MacBook. In this first post, we introduce what SAS Analytics Pro on Viya is and how to install the software.
By starting from a set of purely declarative statements, any zebra puzzle with limited constraints can be tagged and solved quickly in the same way without changing any code.
SAS and Microsoft empower you to make better, faster decisions with unique enterprise decision management.
This article was co-written by Jane Howell, IoT Product Marketing Leader at SAS. Check out her blog profile for more information. As artificial intelligence comes of age and data continues to disrupt traditional industry boundaries, the need for real-time analytics is escalating as organizations fight to keep their competitive edge.
See how intelligent decisioning and machine learning from SAS and Microsoft help a fictitious banking customer simplify and reduce risk in its home loan portfolio.
Unstructured text data is ubiquitous in both business and government and extracting value from it at scale is a common challenge. Organizations that have been around for a while often have vast paper archives. Digitizing these archives does not necessarily make them usable for search and analysis, since documents are
In my new book, I explain how segmentation and clustering can be accomplished in three ways: coding in SAS, point-and-click in SAS Visual Statistics, and point-and-click in SAS Visual Data Mining and Machine Learning using SAS Model Studio. These three analytical tools allow you to do many diverse types of
Data scientist has been on the career hot list for years, but how does one become a data scientist? Well, my journey to becoming a data scientist was not an intentional journey - I didn't start with a plan to end up in a data science career. In fact, I
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The
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.
