Acronyms

See also: Guides, Terms and Abbreviations

ACE		Alternating conditional expectation algorithm
ADT		Automatic Drum Transcription
AdA		Adaptive Agent
AE		Autoencoder
AGI		Artificial general intelligence
AI		Artificial intelligence
AIWPSO		Adaptive Inertia Weight Particle Swarm Optimization
AM		Activation maximization
AMT		Automatic Music Transcription
ANI		Artificial Narrow Intelligence
ANN		Artificial neural network
ANOVA		Analysis of variance
AR		Augmented reality
ASI		Artificial superintelligence
ASR		Automatic speech recognition
AUC		Area Under the Curve
BCE		Binary cross-entropy
BERT		Bidirectional Encoder Representations from Transformers
BLEU		Bilingual evaluation understudy
BP		Backpropagation
BPTT		Backpropagation through time
BRNN		Bidirectional Recurrent Neural Network
BRR		Bayesian ridge regression
CAE		Contractive Autoencoder
CBOW		Continuous Bag of Words
CCE		Categorical cross-entropy
CLIP		Contrastive Language-Image Pre-Training
CNN		Convolutional neural network
CSV		Comma-separated values
CUDA		Compute Unified Device Architecture
CV		Computer Vision, Cross validation, Coefficient of variation
DBN		Deep belief network
DE		Differential evolution
DL		Deep learning
DNN		Deep neural network
DQN		Deep Q-Learning
EDA		Exploratory data analysis
FN		False negative
FNR		False negative rate
FP		False positive
FPR		False positive rate
GAN		Generative Adversarial Network
GBM		Gradient Boosting Machine
GD		Gradient descent
GFNN		Gradient frequency neural network
GLM		Generalized Linear Model
GloVE		Global Vectors
GLUE		General Language Understanding Evaluation
GMM		Gaussian mixture model
GPR		Gaussian process regression
GPT		Generative Pre-Training
GPU		Graphics processing unit
GRU		Gated recurrent unit
HAN		Hierarchical Attention Networks
HF		Hugging Face
i.i.d.		Independently and identically distributed
ICA		Independent component analysis
IID		Independently and identically distributed
kFCV		K-fold cross validation
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
MNIST		Modified National Institute of Standards and Technology
MSE		Mean squared error
ML		Machine learning
NER		Named entity recognition
NST		Neural style transfer
NLP		Natural Language Processing
NLU		Natural Language Understanding
NMF		Non-negative matrix factorization
NN		Neural network
OCR		Optical character recognition
OOF		Out-of-fold
PaLM		Pathways Language Model
PCA		Principal component analysis
PFE		Probabilistic facial embedding
PPO		Proximal Policy Optimization
R2		R-squared
RF		Random forest
REALM		Retrieval-Augmented Language Model Pre-Training
ReLU		Rectified Linear Unit
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
RoBERTa		Robustly Optimized BERT Pretraining Approach
ROC		Receiver operating characteristic
RPA		Robotic Process Automation
RSI		Recursive self-improvement
SGD		Stochastic gradient descent
SL		Supervised learning
ST		Style transfer
STaR		Self-Taught Reasoner
SVM		Support vector machine
SVR		Support Vector Regression
T5		Text-To-Text Transfer Transformer
tf-idf		term frequency–inverse document frequency
TN		True negative
TNR		True negative rate
TP		True positive
TPR		True positive rate
t-SNE		t-distributed stochastic neighbor embedding
UL		Unsupervised learning
VR		Virtual reality
ViT		Vision Transformer