Naïve Bayes is a simple probability-based classification method derived from the Bayes theorem.

Backpropagation requires the of vector pairs, with the pairs consisting of:

Compared to the human brain, artificial neural networks have many more neurons.

Deep neural networks are referred to as “deep” because they are primarily used to evaluate significant philosophical issues.

Which of the following is not a foundation of AI?

The Naïve Bayes method is a powerful tool for representing dependency structure in a graphical, explicit, and intuitive way.

Because of their complexity, it is more difficult to understand the inner structure of model ensembles (how they do what they do) than individual models.

Intelligent agents do not have the ability to learn by using and expanding the knowledge embedded in them.

A well-known early application of artificial intelligence was the chess program hosted at IBM’s supercomputer (Deep Blue).

The process of automated decision-making starts with knowledge refinement.