Acronyms

See also: Guides and Terms

ANN		Artificial neural network
ANOVA		Analysis of variance
AGI		Artificial general intelligence
AI		Artificial intelligence
AUC		Area Under the Curve
BERT		Bidirectional Encoder Representations from Transformers
BLEU		Bilingual evaluation understudy
CLIP		Contrastive Language-Image Pre-Training
CNN		Convolutional neural network
CUDA		Compute Unified Device Architecture
CV		Computer Vision, Cross validation
DL		Deep learning
DNN		Deep neural network
DQN		Deep Q-Learning
EDA		Exploratory data analysis
GAN		Generative Adversarial Network
GBM		Gradient Boosting Machine
GLM		Generalized Linear Model
GLUE		General Language Understanding Evaluation
GPT		Generative Pre-Training
GRU		Gated recurrent unit
ICA		Independent component analysis
KNN		K-nearest neighbors
LAION		Large-scale Artificial Intelligence Open Network
LaMDA		Language Models for Dialog Applications
LLM		Large language model
LLS		Linear least squares
LSTM		Long short-term memory
MAPE		Mean absolute percentage error
MSE		Mean squared error
ML		Machine learning
NLP		Natural Language Processing
NLU		Natural Language Understanding
NMF		Non-negative matrix factorization
NN		Neural network
OOF		Out-of-fold
PaLM		Pathways Language Model
PCA		Principal component analysis
PPO		Proximal Policy Optimization
R2		R-squared
RF		Random forest
REALM		Retrieval-Augmented Language Model Pre-Training
RETRO		Retrieval Enhanced Transformer
RFE		Recursive Feature Elimination
RL		Reinforcement learning
RLHF		Reinforcement Learning from Human Feedback
RMSLE		Root mean squared logarithmic error
RMSE		Root mean squared error
RNN		Recurrent neural network
ROC		Receiver operating characteristic
RPA		Robotic Process Automation
SL		Supervised learning
STaR		Self-Taught Reasoner
SVM		Support vector machine
tf-idf		term frequency–inverse document frequency
t-SNE		t-distributed stochastic neighbor embedding
UL		Unsupervised learning
ViT		Vision Transformer