This folder provides a basic introduction to probabilistic inference. It consists of
- three videos of short lectures. They cover:
- Joint Probability Distributions
- Independence and Bayes' Rule
- Combining Evidence
- Some required reading from Russell and Norvig
- A quiz that tests your understanding of the material presented here.
Please watch the videos or attend the in-persion lecture, do the required reading, and attempt the quiz. If there is anything you don't understand, then please ask your question at the lecture or post it on piazza.
Lecture 22 Slides: Whole
22a: Joint Probability Distributions
22a slides: 22a.pdf
22a video:
22b: Independence and Bayes' Rule
22b slides: 22b.pdf
22b video:
22c: Combining Evidence
22c slides: 22c.pdf
22c video:
Required Reading
R&N Section 13.3–13.5 or NIE Chapter (13) "Quantifying Uncertainty", Sections 3–5.
NOTE: The abbreviation R&N refers to:
“Artificial Intelligence: A Modern Approach” Third Edition, Russell R & Norvig P, Prentice Hall, 2010 (R&N).
The abbreviation NIE stands for the following edition of the same book:
“Artificial Intelligence: A Modern Approach” Third Edition, Pearson New International Edition, Russell R & Norvig P, Pearson, 2014.
Quiz 22: Probabilities and Bayes' Rule
These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade. Some questions require a text answer. You can ask for formative feedback on these from your tutor or on piazza. Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.
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