| 00:00:00 | Naive Bayes |
| 00:00:25 | Classification as a core task in NLP |
| 00:01:11 | Revisiting conditional probability |
| 00:03:26 | Deriving Bayes' Theorem |
| 00:04:12 | The parts of Bayes' Theorem |
| 00:05:43 | A spatial example using Bayes' Theorem |
| 00:07:33 | Bayes' Theorem applied to text classification |
| 00:08:30 | The "naive" in Naive Bayes |
| 00:09:34 | The need to work in log space |
| 00:10:05 | Naive Bayes training and usage |
| 00:13:27 | How the "accuracy" metric can go wrong |
| 00:14:10 | Precision, Recall, and Confusion Matrix |
| 00:17:47 | DEMO: Training and using a Naive Bayes classifier |
| 00:36:28 | Naive Bayes recap and other classification models |