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Recruiter's Glossary

Examples: Boosting • Ensemble Methods • Anomaly Detection

Machine Learning Terms

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

PCA

XGBoost

Dimensionality Reduction

Ensemble Methods

UMAP

Confusion Matrix

LightGBM

Pandas

Regularization

A/B Testing

F1 Score

Pipeline Orchestration

Bayesian Optimization

Bagging

Model Registry

Random Search

Time Series Analysis

Weight & Biases

AUC

Dropout

Feature Selection

Feature Store

Model Versioning

Precision-Recall

Recommendation Systems

CatBoost

Cross-Validation

t-SNE

Overfitting

ROC Curve

Batch Normalization

Data Drift

MLflow

DVC

Grid Search

MLOps

Hyperparameter Tuning

Boosting

Matrix Factorization

Anomaly Detection

Scikit-learn

Underfitting

Bias-Variance

Online Learning

Collaborative Filtering

SciPy

Batch Learning

Kubeflow

Model Interpretability

NumPy

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