SAS Tutorial | Machine Learning Magic Tricks Using SAS

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Learn how to turn exploratory models into a machine learning pipeline through the three magic tricks that SAS’ Cat Truxillo waves with her SAS Visual Analytics and SAS Model Studio wands. In the SAS How To Tutorial, Cat takes you through a “bird strike” example to show how to explain your variables, create an automated predictive model, and put it into a pipeline that can be deployed for scoring. She also explains that at times you may wish to add your own model to compare with the others to find your champion.

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Chapters
0:00 – Intro
0:54 – Learn about the sample bird strike data set
1:40 – Demo in SAS Visual Analytics and SAS Model Studio
2:38 – Magic trick #1: Explain your variables
5:27 – Magic trick #2: Create your machine learning model
8:47 – Magic trick #3 - Create your pipeline

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Комментарии

Hi Cat. Great to "see" you. Miss live meetings, but this was a good substitute. The modeling was awesome!

roncody

Cat is back! Great to see you, Cat! Terrific video (as usual)! Thank you! By the way, I hope that SAS Institute stays on its own FOREVER. No merges, please!

Zane_Zaminsky

Great video, thank you! In the explain your variables section what methodology is being used to explain the damage? Is SAS fitting a logistic regression then converting log odds to report probabilities in certain scenarios?

LaSupp

I'm not sure what precisely is magic here, but I found the walkthrough of the ML process to be coherent and helpful. I'm also curious about the decision to use the flight phase in the model. All that really tells us is that damage is more likely when the plane is in the air. This is not a groundbreaking insight. Should that variable therefore be restricted to those for which the plane is in the air?

michaeltuchman

This is amazing, Cat. Thanks. You asked what else we would like to see? How about risk adjusted scoring?

rogerward

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