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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I have read the 50 articles
Data science acronyms. Thanks 👍