## McNulty // w5d2

**Winter 2015**

**02/10/2015**

### Planned schedule and activities

**9:00 am**: Dawn of a new day

**9:15 am**: Categorical Data Analysis, Bernoulli and Binomial Distributions, Likelihood

**10:15 am**: Work on McNulty

**11:00 am**: Speaker -- Lee Madoff from Ernst Young

**12:00pm**: Food

**1:30pm**: Naive Bayes Classification

**2:10pm**: Work on McNulty

**5:00pm**: End of a beautiful day

### Lecture Notes

Naive Bayes Slides

w5d2_Digits_Naive_Bayes.ipynb (52.7 KB)

### Reading

Simple Naive Bayes Example

Another clear Naive Bayes explanation with distribution math

Naive Bayes in Wikipedia

Maximum Likelihood

Why does naive Bayes work so well even though the assumption is very bad?

Paper on spam filtering and types of naive Bayes (Gaussian, Multinomial, etc)

More technical paper with math on naive Bayes

Bayesian Inference (Think Bayes is also very good at explaining this)