Machine learning systems often use _________ to learn from data.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks

Question

Quizplus · Accepted Answer

Neural networks are a common type of machine learning system that can learn from data through training. They are designed to mimic the way the human brain processes information and can identify patterns and relationships in complex datasets. Expert systems rely on rules and knowledge provided by experts, fuzzy logic involves representing uncertainty and imprecision in data, and genetic algorithms are used for optimization problems. While these may also be used in machine learning, neural networks are typically the most commonly used method for learning from data.

Machine Learning Systems Often Use _________ to Learn from Data