Why it is important to visualize the model-training process and what are the important things to look for
How to visualize and understand underfitting and overfitting
The primary way of dealing with overfitting: regularization, and how to visualize its effect
What is the universal workflow of machine learning, what steps comprise it, and why it is an important recipe that guides all supervised machine learning tasks
8.1 Visualizing model training
8.1.1 Formulation of the temperature-prediction problem
8.1.2 Underfitting, overfitting, and countermeasures