Neural Networks are a type of Machine Learning model inspired by the human brain. They are composed of interconnected nodes, or “neurons,” that process and transmit information. Neural Networks excel at complex pattern recognition tasks, making them valuable in solving problems such as image and speech recognition.
Bayesian networks are Probabilistic Graphical Models that represent and evaluate uncertainty and conditional dependencies between variables. Industries such as healthcare and finance use Bayesian…