Algorithms to live by
- Algorithms to live by
- 37% for optimal stopping problem
- Optimal stopping tells us when to look and when to leap
- Realizing that hunting, gathering information, and just looking around, has its cost
- Realize that we need to refine the rewards well
- The explore/exploit tradeoff tells us how to find the balances between trying new things and enjoying our favorites
- Sorting theory tells us how and whether to arrange our offices
- Caching theory tells us how to fill our closets
- Scheduling theory tells us how to fill our time
- Tackling real-world tasks requires being comfortable with chance, trading off time with accuracy, and using approximations.
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