From Bonsais to Random Forests
summary
The talk explains how combining many small decision-tree models led to Random Forests, tracing their 1990s research origins and showing why Random Forests outperform traditional statistical techniques. It discusses moving from theory to practical deployment of Random Forest models in companies and departments, highlighting implementation aspects and the core ideas behind the algorithms.
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chapters (6)
- 0:00Introduction
- 10:23Statistical model evolution
- 23:53What are Random Forests
- 36:28Random Forests in business
- 48:16Model deployment
- 52:10Summary
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