We currently have 10 entries in this glossary.
Autoencoder – A neural network used for unsupervised learning and data compression.
Bayesian Networks – A probabilistic model representing variables and their conditional dependencies.
Convolutional Neural Network (CNN) – A type of neural network optimized for processing images.
Generative AI - AI that creates content, such as text, images, and music, from learned patterns.
GPT (Generative Pre-trained Transformer) – A type of AI model capable of generating human-like text.
Gradient Descent – An optimization algorithm used to minimize errors in ML models.
Long Short-Term Memory (LSTM) – An advanced RNN that retains long-term dependencies in sequences.
Markov Decision Process (MDP) – A mathematical model for decision-making in RL
Recurrent Neural Network (RNN) – A neural network designed for sequential data, such as time series and speech.
Transformers – A deep learning architecture used in NLP, enabling models like GPT and BERT.
