Tag: Statistics

Learn SAS | Machine Learning
Sharad Saxena 0
New SAS Training Course: Statistics You Need to Know for Machine Learning

Developing an accurate understanding of statistics will help you build robust machine learning models that are optimized for a given business problem. SAS launched a new course that provides a comprehensive overview of the fundamentals of statistics that you'll need to start your data science journey. This course is also a prerequisite to many courses in the SAS data science curriculum.

Programming Tips
Ron Cody 0
Summarizing data

Because it is near the end of the year, I thought a blog about "Summarizing" data might be in order. For these examples, I am going to use a simulated data set called Drug_Study, containing some categorical and numerical variables. For those interested readers, the SAS code that I used

Advanced Analytics | Artificial Intelligence | Machine Learning
Wayne Thompson 0
6 questions about the future of AI  

What does the AI enterprise of the future look like? That’s a tough question that I’ve been asked to consider, along with a distinguished panel at Valley ML AI Expo 2020.  The title of the panel is, “Life, the Universe and the AI Enterprise of the Future.” Based on an initial chat with panel chair Gautam Khera, I’ve written up some possible topics we’ll be covering on the panel. Consider

Jim Harris 0
The Chicken Man versus the Data Scientist

In my previous post Sisyphus didn’t need a fitness tracker, I recommended that you only collect, measure and analyze big data if it helps you make a better decision or change your actions. Unfortunately, it’s difficult to know ahead of time which data will meet that criteria. We often, therefore, collect, measure and analyze

Advanced Analytics
David Pope 0
How to dilute the value of analytics

Business Intelligence (BI) can mean many things to many people, but generally BI is associated with business reports. When you fold business analytics (BA), especially advanced analytics that are predictive or prescriptive, under the BI umbrella you inherently dilute the value proposition that analytics can provide to an organization. Why

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