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
Tag: SAS Visual Data Mining and Machine Learning
Nowadays, recommendation engines can be found just about everywhere from news websites to e-commerce sites to online streaming services. However, customers frequently encounter recommendations that are inappropriate or repetitive.
A monotonic relationship exists when a model’s output increases or stays constant in step with an increase in your model’s inputs. Relationships can be monotonically increasing or decreasing with the distinction based on which direction the input and output travel. A common example is in credit risk where you would expect someone’s risk score to increase with the amount of debt they have relative to their income.
Validating and testing our supervised machine learning models is essential to ensuring that they generalize well. SAS Viya makes it easy to train, validate, and test our machine learning models.
In machine learning, a feature is another word for an attribute or input, or an independent variable. What is feature engineering? Feature engineering is a process of preparing inputs for machine learning models. The goal of feature engineering is to to improve classification accuracy by considering the limitations of the
When I was in Denver for SAS Global Forum 2018, one of our customers asked me for three use cases that show strong return on investment for analytics in today's electric utility industry. Since our energy team has identified at least 125 separate use cases that show how analytics can