Please enable JavaScript.
Coggle requires JavaScript to display documents.
Artificial Intelligence, Natural Language Processing: The goal is making…
Artificial Intelligence
Machine Learning
Symbolic Learning: A type of machine learning which uses high-level symbolic representations of problems, logic and search to learn from data.
-
-
Bayesian networks: probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph
-
-
-
-
Reinforcement Learning: A type of machine learning in which the agent is trained to maximize a cumulative reward signal
-
-
-
-
-
-
Deep Learning: Machine learning using artificial neural networks, usually multi-layered
-
-
-
-
-
-
-
-
Knowledge Representation
-
Fuzzy logic: a form of logic in which truth values aren't binary, they may be any real number between 0 and 1
Classical Logic: Deductive reasoning based on the principle that every proposition has a truth value of either true or false
-
Natural Language Processing: The goal is making computers capable of recognizing, understanding, and/or producing natural language.
-
-
-
-
-
-
-
-
-
-