alirezadir/Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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Established

Covers six core interview modules spanning general algorithms, ML-specific coding (model training, evaluation), foundational ML theory, and system design patterns for production environments. Structured around real interview experiences from FAANG companies, it provides practical guidance on translating ML fundamentals into engineering solutions while addressing the lack of standardized ML interview formats across organizations.

7,898 stars.

No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

7,898

Forks

1,415

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 28, 2025

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