Major: data science
How Do You Design and Interpret an A/B Test?
Mediummeta, booking
HotHow Do You Evaluate and Monitor Machine Learning Models in Production?
Hardgoogle, airbnb
CommonHow Do You Implement and Monitor a Machine Learning Model in Production?
Hardairbnb, stripe
CommonWhat Are the Key Steps in Data Cleaning and Preprocessing?
Easypwc, uber
CommonExplain the Bias-Variance Tradeoff in Machine Learning
Mediumgoogle, meta
CommonHow Do You Ensure Data Quality in Large-Scale Data Systems?
Hardsnowflake, databricks
CommonWhat Are Best Practices for Data Visualization in Analytics?
Easytableau, google
CommonDifferentiate Between Overfitting and Underfitting
Easyoracle, accenture
CommonWhat Are Ensemble Learning Methods and Why Are They Effective?
Mediumamazon, meta
CommonExplain Cross-Validation and Its Variants in Model Evaluation
Mediumgoogle, uber
CommonExplain the Concept of Data Drift and How to Monitor It in Production
Hardgoogle, airbnb
CommonHow Do You Handle Imbalanced Datasets in Classification Problems?
Mediumlinkedin, paypal
CommonHow Do You Monitor and Maintain ML Models in Production (MLOps)?
Hardairbnb, uber
CommonWhat Are Feature Selection Techniques and Why Are They Important?
Mediummicrosoft, ibm
CommonWhat Is Reinforcement Learning and How Is It Applied in Practice?
Harddeepmind, openai
CommonHow Do You Approach Feature Scaling and Why Does It Matter?
Mediumgoogle, booking
CommonHow Would You Design a Scalable Data Pipeline?
Hardnetflix, snowflake
CommonWhat Is Regularization and Why Is It Used in Machine Learning?
Mediumnetflix, airbnb
CommonDescribe the Gradient Descent Algorithm and Its Variants
Hardamazon, deepmind
CommonExplain the Basics of Time Series Forecasting and Its Challenges
Mediumamazon, target
CommonHow Do You Evaluate Feature Importance in Machine Learning Models?
Hardmeta, microsoft
CommonExplain Feature Drift and Concept Drift in Machine Learning Systems
Hardstripe, meta
CommonWhat Is Data Leakage and How Can It Be Prevented?
Mediumpwc, salesforce
CommonExplain the Difference Between Generative and Discriminative Models
Hardopenai, google
CommonWhat Are Techniques for Model Interpretability?
Hardmicrosoft, accenture
CommonWhat Is Hypothesis Testing and How Do You Interpret p-Values?
Mediumdeloitte, pwc
CommonExplain Bayesian Inference and Its Role in Data Science
Hardgoogle, spotify
CommonInterpret a Confusion Matrix and Its Derived Metrics
Easyintel, deloitte
CommonWhat Is Principal Component Analysis (PCA) and How Does It Work?
Hardmeta, apple
CommonDiscuss the Importance of Ethics and Fairness in AI Systems
Mediumgoogle, ibm
Common