Chapter
The Distinction between Pattern Recognition and Decision Making Tools in Industry
22:23 - 29:39 (07:16)
The difference between pattern recognition and decision-making tools is a constrained lab dataset versus consequential decisions in the messiness of the real world that touches human beings with market forces impacting decisions. Companies like Amazon use both types of tools with half their workforce working on decision-making tools and the other half on pattern recognition in the context of strategic goals for data collection and analysis.
Clips
The distinction between pattern recognition and decision-making is in lab data versus consequential decision-making in the real world with messiness and uncertainty.
22:23 - 25:00 (02:37)
Summary
The distinction between pattern recognition and decision-making is in lab data versus consequential decision-making in the real world with messiness and uncertainty. While both are essential, decision-making is critical when human lives are at stake or risks are being taken in the industry.
ChapterThe Distinction between Pattern Recognition and Decision Making Tools in Industry
Episode#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
PodcastLex Fridman Podcast
This podcast episode discusses how people in the database industry had to think about how to move money around effectively which is similar to music makers who have to understand how their music reaches a wider audience more effectively.
25:00 - 29:39 (04:39)
Summary
This podcast episode discusses how people in the database industry had to think about how to move money around effectively which is similar to music makers who have to understand how their music reaches a wider audience more effectively.