Building Models
No notebook for this module
| Timestamp | Description |
|---|---|
| 00:00:00 | Building models |
| 00:01:03 | Scenarios for using machine learning |
| 00:01:42 | Defining machine learning |
| 00:02:05 | The different types of machine learning |
| 00:04:20 | Machine learning as automatic programming |
| 00:05:59 | A high-level view of modelling workflow |
| 00:09:17 | High bias and what to do about it |
| 00:10:25 | High variance and what to do about it |
| 00:12:08 | Regularization and hyperparameters |
| 00:13:09 | Evaluating on the test set |
| 00:14:00 | Practical concerns beyond performance metric |
| 00:15:25 | Modelling recap |