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Back to the lesson libraryMECHANISM · 11 MIN
M06.1 CONNECT THE MECHANISM

Probability, likelihood, and what is unknown

Everyone agrees a coin lands heads half the time. But a tossed thumbtack? Learn how to score your guesses from data, and which kinds of doubt more data can cure.

LESSON OVERVIEW11 min lesson

Lesson overview

Everyone agrees a coin lands heads half the time. But a tossed thumbtack? Learn how to score your guesses from data, and which kinds of doubt more data can cure.

What you’ll explore

  • Probability models assign uncertainty to outcomes; likelihood evaluates parameter choices against observations, while priors and uncertainty sources state what assumptions enter the analysis.
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Original explanations, connected to the research.

Deep Learning — probability and information theory
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