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

Key Sequence

Notation

New Concepts

• relative probability
• probability density function
• inference

Important Results / Claims

• getting exact values from PDF
• Bayes Normalization Constant

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• Bayes Theorem Over Random Variable
• sigmoid

Important Results / Claims

• not all beliefs are able to be written down as a function
• it is ok to discretize things
• Item Response Theory

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• General Inference (i.e. inference in general)

Important Results / Claims

• Methods of Compressing the Parameters of a Distribution

Questions

Interesting Factoids

Key Sequence

Notation

New Concepts

• counting

Important Results / Claims

• thinking by steps
  • step rule of counting aka product rule of counting
  • inclusion exclusion counting (“counting with or”)

Questions

Interesting Factoids