[BAYES] Lesson 7: Parameter and model estimation and classification | iMooX.at
Channel: iMooX at
Date: 2021-05-17

00:03 Welcome to Unit 7
00:50 Regression
03:08 Orthodox parameter estimation
04:49 Bayesian parameter estimation
09:59 Bayesian prediction
11:46 Starpath prediction
13:27 Classification
17:37 Fishground boundary
18:13 Model selection
19:17 Take home

This is a video of the course "Bayesian probability theory" on https://imoox.at/course/bayes22

The primary motivation for this course is to warm a broader audience to probability theory, as it is central to all scientific fields. Or as E.T. Jaynes - one of the most important researchers on probability theory of the last century - put it: "Probability is the logic of science."

The course consists of 9 units. The time required for the course was estimated at 6 hours per unit.
You can find the full playlist for the course here: https://www.youtube.com/playlist?list=PLhy2nHJciTECmGvROzdSRhH-tZZOT_dMf

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