Interview QA for AI algorithm roles
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This repository provides a comprehensive collection of over 1000 AI interview questions and answers, categorized into 25 distinct topics covering machine learning, deep learning, and system design. It is intended for AI/ML engineers and researchers preparing for technical interviews, offering curated, in-depth Q&A to aid in preparation.
How It Works
The project manually compiles interview questions and answers based on personal interview experience. It covers a wide spectrum of AI topics, including foundational machine learning algorithms (e.g., K-means, SVM), deep learning architectures (e.g., CNN, RNN, Transformers, LLMs), and specialized areas like recommendation systems, NLP, CV, and reinforcement learning. The Q&A format aims to provide detailed explanations for complex concepts.
Highlighted Details
Maintenance & Community
The repository was last updated on August 13, 2023. The author encourages users to follow their WeChat official account for updates.
Licensing & Compatibility
The repository does not explicitly state a license.
Limitations & Caveats
The repository is a curated list of questions and answers, and does not include code implementations or benchmarks. The lack of a specified license may pose restrictions on commercial use or integration into proprietary projects.
2 years ago
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