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My guest today is Brian Christian, an American non-fiction author, poet, programmer and researcher, best known for the two bestselling books The Most Human Human (2011) and Algorithms to Live By (2016).
The topic is his book Algorithms to Live By: The Computer Science of Human Decisions.
In this episode of Trend Following Radio we discuss:
- Optimal stopping
- What is an algorithm
- Process vs. Outcome
- The explore, exploit trade off
- The multi-arm bandit problem
- Win stay, lose shift
- Regret minimization framework
- Frequency and intensity of mistakes related to age
- Upper confidence bound algorithm
- Threading
“There is this argument that could be made, in a number of situations, where mess is not only the easy choice but it can be the optimal choice.” – Brian Christian
Mentions & Resources:
- Brian Christian
- Algorithms to Live By: The Computer Science of Human Decisions
- algorithmstoliveby.com
- @brianchristian
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