Useful Data Science Acronyms
In the era of minimalism, the IT field is also affected widely by the minimalist culture. Social media trends have started a new culture of using acronyms all around the internet. Acronyms are not new; they have been used in computer science since the beginning.
In this article, we will share the 50 most used data science acronyms that all data professionals must know.
50 Most Used Data Science Acronyms
ANOVA : Analysis of Variance
AUC : Area Under the Curve
BART: Bidirectional and Auto-Regressive Transformer
BDA: Big Data Analytics
BERT: Bidirectional Encoder Representations from Transformers
CFDS: Customer-Facing Data Scientist
CV: Cross Validation
CNN : Convolutional Neural Network
DL: Deep Learning
DNN: Deep Neural Network or Deconvolutional Neural Network
DQ: Data Quality
EDA: Exploratory Data Analysis
ELMO: Embeddings from Language Models
GBM: Gradient Boosting Machine
GLM: Generalized Linear Model
GRU: Gated Recurrent Unit
HMM : Hidden Marcov Model
ICA: Independent Component Analysis
JSON: JavaScript Object Notation
kNN: k-Nearest Neighbors
LB: LeaderBoard
LDA: Latent Dirichlet Allocation or Linear Discriminant Analysis
LLE : Locally Linear Embedding
LOOCV : Leave-One-Out cross-validation
LpO CV : Leave-p-out cross-validation
LSA/LSI: Latent Semantic Allocation/Indexing
LSTM: Long Short Term Memory
MAPE: Mean Absolute Percentage Error
MARGE: Multilingual Autoencoder that Retrieves and Generates
MCMC : Markov Chain Monte Carlo
MDS : Multi-Dimensional Scaling
MSE: Mean Squared Error
NLDR: Non-Linear Dimensionality Reduction
NLP : Natural Language Processing
NMF: Non-Negative Matrix Factorization
OOF: Out Of Fold
PCA: Principal Component Analysis
pLSA: Probabilistic Latent Semantic Allocation
R2 : R-squared
RF: Random Forest
RFE: Recursive Feature Elimination
RMSLE : Root Mean Squared Logarithmic Error
RNN: Recurrent Neural Network
ROC : Receiver Operating Characteristic
SMOTE: Synthetic Minority Over-sampling Technique
SQL: Structured Query Language
SVM: Support Vector Machine
tf-idf: term frequency, inverse document frequency
t-SNE: t-Distributed Stochastic Neighbor Embedding
XML: Extensible Markup Language
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