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Recruiter's Glossary

Examples: Dimensionality Reduction • Batch Normalization • CatBoost

Machine Learning Terms

Understanding these terms will help you better evaluate candidates and communicate with hiring managers

Regularization

Model Versioning

XGBoost

DVC

Anomaly Detection

ROC Curve

A/B Testing

Hyperparameter Tuning

Pandas

Recommendation Systems

Dropout

Model Registry

Random Search

NumPy

AUC

Confusion Matrix

Scikit-learn

Ensemble Methods

Bias-Variance

PCA

Overfitting

Time Series Analysis

MLOps

Batch Learning

Bagging

MLflow

Matrix Factorization

SciPy

Model Interpretability

Data Drift

UMAP

Batch Normalization

Collaborative Filtering

Online Learning

Grid Search

Feature Store

Dimensionality Reduction

Pipeline Orchestration

Feature Selection

F1 Score

CatBoost

Precision-Recall

Boosting

Underfitting

Cross-Validation

Kubeflow

t-SNE

Bayesian Optimization

Weight & Biases

LightGBM

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