zhengjingwei/machine-learning-interview
A curated set of machine learning and deep learning interview questions for algorithm engineer candidates.
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This repository compiles common machine learning interview questions covering fundamental concepts like loss functions, evaluation metrics (AUC, precision, recall, F1), model selection, overfitting/underfitting, and classical ML topics including feature engineering. It serves as a study guide and preparation resource for candidates interviewing for ML engineering roles.
Frequently asked
- What is zhengjingwei/machine-learning-interview?
- A curated set of machine learning and deep learning interview questions for algorithm engineer candidates.
- Is machine-learning-interview open source?
- Yes — zhengjingwei/machine-learning-interview is an open-source project tracked on heatdrop.
- How popular is machine-learning-interview?
- zhengjingwei/machine-learning-interview has 1.7k stars on GitHub.
- Where can I find machine-learning-interview?
- zhengjingwei/machine-learning-interview is on GitHub at https://github.com/zhengjingwei/machine-learning-interview.