Machine Learning Techniques

The success of Machine Learning benefits from the availability of various numerical techniques and specialized technical concepts that help to make the training process efficient and effective. In many times, it is even those techniques and technical aspects that make a problem solvable in the first place. This chapter introduces some of these techniques and covers topics ranging from feature engineering and feature importance, training, testing, and cross-validation, to the concepts of baseline models.