We currently have 10 entries in this glossary.
Artificial Intelligence (AI) - The simulation of human intelligence in machines.
Computer Vision - AI that enables machines to interpret and analyze visual data from images and videos.
Deep Learning (DL) - A type of ML using neural networks with multiple layers for complex pattern recognition.
Machine Learning (ML) - A subset of AI that enables computers to learn from data without explicit programming.
Natural Language Processing (NLP) - The field of AI focused on enabling machines to understand and process human language.
Neural Network - A computational model inspired by the human brain, consisting of layers of nodes (neurons).
Reinforcement Learning (RL) - A type of ML where agents learn by taking actions in an environment to maximize rewards.
Semi-Supervised Learning - A hybrid ML approach using both labeled and unlabeled data.
Supervised Learning - A type of ML where models learn from labeled training data.
Unsupervised Learning - ML where models learn patterns from unlabeled data.
