Stochastic Data: Gateway to AI
AI is trained on Stochastic (uncertain) data. It can then provide Stochastic Data for use in chance-informed applications if you have a place to store it and a way to use it. The SIPmath Standard and ChanceCalc perform these functions.
Brad Efron, a founding father of computational statistics and Sam Savage discuss error analysis in AI.
Part 1, 1:33 - Introduction
What Stochastic Data Does
Part 2, 2:33 - A Flaw of Averages Classic
A problem to be solved with Stochastic Data
Part 3, 4:33 - What is Stochastic Data
Learn how native Excel can use Stochastic Data to roll dice 10,000 times before your finger leaves the <Enter> key
Part 4, 4:32 - Chancification, the Probability Power Grid
Stochastic Data in the cloud cures the Flaw of Averages introduced in Part 2
Part 5, 2:00 - Chance-informed Decisions
Stochastic Data accommodates your risk attitude
Part 6, 1:15 - The Stochastic Data Cycle
Use Stochastic Data or lose it
Part 7, 2:22 - Regression, the Protozoa of AI
The Stochastic Data cycle can be understood in terms of linear regression
Part 8, 0:49 - Summary
The SIPmath Standard lets you store and use Stochastic Data
Presentations by Dr. Sam L. Savage during the 2024 Risk Awareness Week:
Stochastic Data: Gateway to AI
Taking the Chances out of AI
https://2024.riskawarenessweek.com/talks/taking-the-chances/
The CHANCES Consortium for Natural Hazard Risk
https://2024.riskawarenessweek.com/talks/CHANCES-Consortium/