In the ten-part series How to Interpret Model Performance with Cost Functions Salford Systems continues to publish really well done data science tutorial webinars. Length of the segments vary with most about 10 to 20 minutes.

- An Introduction to Understanding Cost Functions
- Least Squares Deviation Cost for a Regression Problem
- Least Absolute Deviation and Huber-M Cost for a Regression Problem
- Introducing the Binary Classification Problem
- Evaluating Prediction Success with Precision and Recall
- Measuring Performance with the ROC Curve
- Assessing Model Performance with Gains and Lift
- Direct Interpretation of Response with Logistic Function
- Multinomial Classification- Expected Cost
- Multinomial Classification- Log Likelihood