Internet of Things

Here P(q|) refers to the “prior” probability while q represents a hypothesis. Prior is our past

knowledge or understanding which is shaped by our history. P(X|q) represents the chances of a

conditional probability for the given values. The data is denoted by P(X) (evidence). For multiple

values of X, summation can be used. q represents a hypothesis. P(q|X) represents the posteriori

probability or a hypothesis’ conditional probability.

What is conditional probability? Explain in details.

Flash Question

Exercises

1. Create a table for a model of mammals by presenting all the fundamental characteristics.

Do create a rule for making predictions. ...