anastasiamkh/engineering-machine-learning-systems
Structured notes on designing scalable and fault-tolerant ML systems, to refresh your knowledge and help you prepare for a system design interview. Covers system design, MLOps, and case studies.
No commits in the last 6 months.
Stars
4
Forks
—
Language
—
License
MIT
Category
Last pushed
Jan 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anastasiamkh/engineering-machine-learning-systems"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alexeygrigorev/data-science-interviews
Data science interview questions and answers
boost-devs/ai-tech-interview
π©βπ»π¨βπ» AI μμ§λμ΄ κΈ°μ λ©΄μ μ€ν°λ (βοΈ 2k+)
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and...
datascienceinterviews/datascienceinterviews.github.io
This is a completely open-source repo of interview questions and answers for people preparing...
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data...