Building Models

No notebook for this module

00:00:00Building models
00:01:03Scenarios for using machine learning
00:01:42Defining machine learning
00:02:05The different types of machine learning
00:04:20Machine learning as automatic programming
00:05:59A high-level view of modelling workflow
00:09:17High bias and what to do about it
00:10:25High variance and what to do about it
00:12:08Regularization and hyperparameters
00:13:09Evaluating on the test set
00:14:00Practical concerns beyond performance metric
00:15:25Modelling recap