In this 10-part video series we discuss the concept of cost functions, which are directly related to the performance of data mining and predictive models. We go deep into the statistical properties and mathematical understanding of each cost function and explore their similarities and differences.
Cost functions are important because there are many ways to design a machine learning algorithm, as well as interpret its performance. This cost functions series will help the analyst discover the underpinnings of the algorithms and usefulness of each algorithm’s functionality. Following this series you will have a deep understanding of a slew of cost functions available for classification and regression models, as well as interpret your predictive models from an expert’s point of view.