songyingxin/NLPer-Interview resource

Health v2 · maintenance only

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Adoption not part of the score

2757 stars · 504 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of study notes and interview questions for NLP algorithm engineer positions, covering Python/C++, math, machine learning, deep learning, and NLP topics like word embeddings and pretrained language models. It is a Markdown-based knowledge repository intended to help candidates prepare for technical interviews.

Use cases

• prepare for an NLP algorithm engineer interview
• review machine learning fundamentals like SVM and decision trees
• study deep learning basics such as CNN, RNN, and gradient problems
• revise word embedding concepts like Word2Vec, GloVe, and FastText
• understand pretrained language models like BERT
• brush up on Python and C++ interview questions
• review probability, linear algebra, and information theory for interviews

When to choose

• you are preparing for NLP or machine learning engineer interviews and want organized topic-based notes
• you want a free Chinese-language study guide covering math, ML, DL, and NLP fundamentals
• you need a checklist of common interview topics to find your knowledge gaps

When to avoid

• you need a runnable software library or tool rather than study notes
• you want up-to-date content covering recent LLM-era topics, as the repo was last updated in 2022
• you need English-language interview preparation materials

Facets

learning-resource · maturity maintenance

nlp machine-learning deep-learning machine-learning tutorials cross-platform interview-preparation study-notes chinese nlp-interview algorithm-engineer natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="songyingxin/NLPer-Interview")