Defines and gives some brief examples of neural networks.

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

Explains and exemplifies bivariate data.

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.

Explains how generative adversial neural networks create new data from existing data. The clip also contains an analogy of how a cashier and a counterfeiter are like the generative and discriminitory aspects of a generative adversarial network.