The people, the energy, the quality of the content, the demos, the networking opportunities…whew, all of these things combine to make SAS Global Forum great every year. And that is no exception this year. Preparations are in full swing for an unforgettable conference. I hope you’ve seen the notifications that […]
What makes SAS Global Forum great? was published on SAS Users.
Find out the most popular SAS Users YouTube channel how to tutorials, and learn a thing or two!
2020 roundup: SAS Users YouTube channel how to tutorials was published on SAS Users.
Everyone knows that SAS has been helping programmers and coders build complex machine learning models and solve complex business problems for many years, but did you know that you can also now build machines learning models without a single line of code using SAS Viya? SAS has been helping programmers […]
The value of a low-code/no-code approach to building machine learning models was published on SAS Users.
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 […]
Build a decision tree in SAS was published on SAS Users.
Analytics is playing an increasingly strategic role in the ongoing digital transformation of organizations today. However, to succeed and scale your digital transformation efforts, it is critical to enable analytics skills at all tiers of your organization. In a recent blog post covering 4 principles of analytics you cannot ignore, […]
Analytics for everyone with SAS Viya was published on SAS Users.
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.
How SAS Visual Analytics’ automated prediction takes customer care to the next level was published on SAS Users.
I think we can all agree that lifelong learning is the future, for all of us. We know that we need to learn and develop all the time, simply to stay abreast. The world is changing fast, and we must change with it. Investing in analytics talent is an investment […]
Shaping the future of lifelong learning was published on SAS Users.
Have you heard that SAS offers a collection of new, high-performance CAS procedures that are compatible with a multi-threaded approach? The free e-book Exploring SAS® Viya®: Data Mining and Machine Learning is a great resource to learn more about these procedures and the features of SAS® Visual Data Mining and […]
Learn about new data mining and machine learning procedures in SAS Viya was published on SAS Users.