Match the term with its definition and characteristics.

A subset of Machine Learnign that referst to artificial neural networks that are composed of many layers.

Mimic evolutionary precesses to generate increasingly better solutions to a problem. Mutation within a genetic algorithm involve randomly trying combinations and evaluating success (or failure) in order to learn to optimize outcomes.

analyze large quantitied of information to establish patterns and charceristicwd when the logic or rules are unknown.

Include a knowledge based with accumulated experience and a set of rules for aplying the knowledge base to each particular situation.

A subset of Artificial Intelligence that users algorithms to learn iteratively from data and can find insigths without explicit programming.

1. Deep Learning

2. Genetic algorithm

3. Neural network

4. Expert systems

5. Machine Learning

Explanation:

Deep Learning is a subset of Machine Learning that refers to artificial neural networks that are composed of many layers.

Genetic algorithm mimic evolutionary processes to generate increasingly better solutions to a problem. Mutation within a genetic algorithm involve randomly trying combinations and evaluating success (or failure) in order to learn to optimize outcomes.

Neural network analyze large quantities of information to establish patterns and characteristic when the logic or rules are unknown.

Expert systems includes a knowledge base with accumulated experience and a set of rules for applying the knowledge base to each particular situation.

Machine Learning is a subset of Artificial Intelligence that uses algorithms to learn iteratively from data and can find insight without explicit programming.