Machine Learning Interviews: 151 FAANG Questions With Walkthroughs
Peng Shao has released a practical guide to machine learning job interviews. The book contains 151 questions, walkthroughs of common topics and advice for each interview stage, from the phone screen to discussions of models, metrics and infrastructure. The material targets both newcomers and experienced specialists who want structured preparation for the hiring process.
AI-processed from Habr AI; edited by Hamidun News
Machine learning interviews at FAANG companies demand preparation in math, ML concepts, programming, data handling and system design. Peng Shao's book gathers all of it in 151 questions.
What topics does machine learning interview preparation cover?
Preparation includes a mathematical foundation, key ML concepts, programming, data handling, model evaluation, system design and the typical mistakes candidates make when answering interview questions.
Ship AI Faster with Founders, Engineers & Weekly Architecture Reviews
Inside Vibe Club (hamidun.com/club) — weekly live masterminds with Zhemal Khamidun, Tech Radar, full LMS access, and 370+ production Claude Code skills.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.