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Probability Must-Knows for Machine Learning | Math for ML (Part 1)
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This video provides an introductory crash course to probability, with the intention of teaching concepts that are foundational to machine learning.
Timestamps
00:00 Introduction
00:44 Defining Probability
06:31 Conditions of Probability
10:39 Joint Probability
14:37 Conditional Probability
18:25 Independence
20:12 Sum Rule
22:40 Law of Total Probability
25:30 Law of Total Probability Example
28:40 Bayes' Rule
32:17 Bayes' Rule Example
Feel free to leave any questions.
Thanks for watching everyone!
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