---
title: "SU-CS109 OCT202023"
source: https://www.jemoka.com/posts/kbhsu_cs109_oct202023/
date: 2023-10-20
---

Key Sequence Notation New Concepts multinomial coefficient joint probability distribution probablistic models multinomial distribution text Naive Bayes Important Results / Claims for Naive Bayes against some multinomial distribution, its often a good time to find the ratios of the results because the combination in the beginning cancels out if you are analyzing the same samples upon different prior probabilities \begin{equation} \frac{P(H|D)}{P(M|D)} = \frac{\prod_{i} h_{i}^{c_{i}}}{\prod_{i} m_{i}^{c_{i}}} \end{equation}
Questions Interesting Factoids
