Gives an example of using a neural network to predict one's salary based on a number of different characteristics and by using an activation function.

Defines and gives some brief examples of neural networks.

Expains regression lines and using data to make predictions.

Explains and exemplifies bivariate data.

Explains how the silhouette method evaluates unsupervised machine learning processes by measuring the closeness of data points.