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Topics asked at interviews for ML practitioners in Germany

Writer's picture: Anastasia KaravdinaAnastasia Karavdina


๐— ๐—Ÿ ๐—™๐˜‚๐—ป๐—ฑ๐—ฎ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—น๐˜€

  • Variance-Bias Trade-off

  • Regression Algorithms

  • Classification Algorithms

  • Clustering Algorithms

  • Deep Learning (DNN, LSTM, Transformers)

  • Regularization Methods

  • Model Evaluation Metrics

  • Handling Missing Data

  • Feature Scaling

  • Dimensionality Reduction

  • Encoding Categorical Data

  • Hyperparameter Tuning

  • Cross-validation


๐— ๐—Ÿ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป

  • Chatbot

  • RAG

  • Recommenders

  • Fraud detection

  • Image classification

  • Voice recognition

(usually you asked design questions for a system you will work on, e.g if you apply to a team building chatbot, you will ask how to design a chatbot)


๐— ๐—Ÿ ๐——๐—ฒ๐—ฝ๐—น๐—ผ๐˜†๐—บ๐—ฒ๐—ป๐˜

  • Model Serving (Batch vs Real-Time)

  • Monitoring and Maintaining Models in Production

  • Model Retraining Strategies

  • Workflow Orchestration

  • Experiment Trackingย 

  • Model Registry and Versioning



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