Tracks
| Rank | Play | Album | Loved | Track name | Buy | Options | Listeners |
|---|---|---|---|---|---|---|---|
| 1 |
|
Squiggly Line fit to the training data |
|
|
|||
| 2 |
|
Definition of Variance |
|
|
|||
| 3 |
|
Definition of Overfit |
|
|
|||
| 4 |
|
Cross Validation concepts |
|
|
|||
| 5 |
|
Motivation for using Cross Validation |
|
|
|||
|
Don't want to see ads? Upgrade Now |
|||||||
| 6 |
|
An example using Cross Validation |
|
|
|||
| 7 |
|
Bias and Variance |
|
|
|||
| 8 |
|
Least Regression fit to the training data |
|
|
|||
| 9 |
|
Motivation for confusion matrices |
|
|
|||
| 10 |
|
A 3x3 confusion matrix. |
|
|
|||
| 11 |
|
Cross Validation for tuning parameters |
|
|
|||
| 12 |
|
Definition of confusion matrix and related terminology |
|
|
|||
| 13 |
|
The data and the "true" model |
|
|
|||
| 14 |
|
Confusion matrix example |
|
|
|||
| 15 |
|
Comparing confusion matrices |
|
|
|||
| 16 |
|
Intro |
|
|
|||
| 17 |
|
Sensitivity and Specificity |
|
|
|||
| 18 |
|
Cross Validation |
|
|
|||
| 19 |
|
Summary |
|
|
|||
| 20 |
|
The Confusion Matrix |
|
|
|||
| 21 |
|
Awesome song and introduction |
|
|
|||
