Class notes
Probability Theory Review
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Probability theory is the study of uncertainty. Through this class, we will be relying on concepts from probability theory for deriving machine learning algorithms. These notes attempt to cover the basics of probability theory at a level appropriate for CS 229. The mathematical theory of probability is very sophisticated, and delves into a branch of analysis known as measure theory. In these notes, we provide a basic treatment of probability that does not address these finer details. 1 Elements of probability 2 Random variables 3 Two random variable 3.4 Conditional distributions 3.5 Bayes’s rule
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Institution
Stanford University
Course
Machine learning-ml
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Written for
- Institution
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Stanford University
- Course
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Machine learning-ml
Document information
- Uploaded on
- February 24, 2022
- Number of pages
- 12
- Written in
- 2020/2021
- Type
- Class notes
- Professor(s)
- Arian maleki and tom do
- Contains
- Probability theory review
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