Hidden States & Emissions: The Joint Probability of a Weather Path and a Logbook
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Lessons in this course
- Markov Chains Refresher: Transition Tables, Rows That Sum to 1 and Two-Step Probabilities Pro
- Hidden States & Emissions: The Joint Probability of a Weather Path and a Logbook Pro
- The Forward Algorithm: α Tables Step by Step and the Probability of a Logbook Pro
- Viterbi Decoding: δ Tables with MAX, Back-Pointers and the Best Path by Backtracking Pro
- Log Probabilities: Underflow, LN Sums Instead of Products and Comparing Paths Pro
- Backward & Smoothing: β Tables and the Posterior Probability of Each Day's Weather Pro
- Learning from Counts: Transition and Emission Tables from a Labelled Logbook, with Add-One Smoothing Pro
- Toy Part-of-Speech Tagging: Three Hidden Tags, Viterbi on a Short Sentence, Accuracy and a Posterior Chart Pro