Machine Learning Basics: Definition, Types, and Applications A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between
Travel Chatbots in 2024: Top 8 Use Cases, 5 Tools & Benefits This guarantees that complicated queries or nuanced interactions will be resolved accurately and swiftly, fostering a more robust relationship between the travel agent and its worldwide clientele. Around 50% of customers expect companies to be constantly available, and