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so H(Fair) = 1 H (F a i r) = 1 for a fair coin, and we say it has 1 bit of entropy if you re-do the calculation with an unfair coin, say a coin with a 99% chance of coming up heads, you get H(Unfair) ...
By balancing self-reinforcement with critical external feedback, we can optimize learning systems to foster deep, lasting expertise while avoiding the traps of unsupervised overconfidence.
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