Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
An overview over hyperparameter selection & algorithm selection with big and small data In this post I will discuss a topic central to the process of building good (supervised) machine learning models: model selection. This is not to say that model selection is the centerpiece of the data science