NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
This resource provides a comprehensive collection of knowledge points and practical code implementations frequently encountered in machine learning, deep learning, and natural language processing interviews. It helps aspiring algorithm engineers or data scientists prepare for technical interviews by offering theoretical foundations and real-world code examples. The input is structured learning materials, and the output is enhanced understanding and practical skills in these domains.
17,549 stars.
Use this if you are an algorithm engineer or data scientist preparing for interviews in machine learning, deep learning, or natural language processing and need a structured resource for theory and code examples.
Not ideal if you are looking for a complete, exhaustive academic textbook or advanced research material for experienced practitioners.
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17,549
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Jupyter Notebook
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Last pushed
Jan 09, 2026
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