How does an evolving environment affect the predictions of a Machine Learning (ML) system? Often, the characteristics of real-world environments change as time passes. When we build an AI system that looks for behavioral markers for a certain condition, what do we do when the behavioral markers change? They are no longer a good predictor, and we need to retrain our predictor system. As an environment changes and evolves, its evolutionary path, sometimes called 'drift,' can affect how a system in that environment functions. Environmental drift may adversely affect how well an ML system...
Robert Vanderwall
Sr. Data Scientist
Testaify, Inc.
Robert Vanderwall built his first computer from chips, transistors, wire, and solder. His passion for all things computers was born. When at university, Robert studied physics, specifically wave mechanics. After graduation, Robert was employed to design microcomputer systems for Telxon, then ITT. He then went on to Bell Labs where an interest in AI as well as software testing and formal methods was sparked. While at the labs, Robert completed his Ph.D. in software testing techniques. After many years at the labs, Robert relocated to Florida, where he did software.