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Recruiter's Glossary

Examples: Bias-Variance • F1 Score • A/B Testing

Data Science Terms

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

ROC Curve

t-SNE

BERT

Machine Learning

UMAP

Ensemble Methods

SVM

Random Forest

Bias-Variance

Precision-Recall

Keras

Transfer Learning

Data Preprocessing

Cross-Validation

Data Augmentation

Feature Selection

Grid Search

LSTM

Scikit-learn

Clustering

RNN

Hypothesis Testing

F1 Score

Transformer

Natural Language Processing

Feature Engineering

Computer Vision

AUC

Reinforcement Learning

Hyperparameter Tuning

Dimensionality Reduction

Time Series

Neural Networks

Underfitting

PCA

Deep Learning

Regression

Overfitting

GPT

Classification

Gradient Descent

Confusion Matrix

KNN

Model Deployment

Backpropagation

CNN

TensorFlow

PyTorch

Model Evaluation

A/B Testing

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