Ramakm/AI-ML-Book-References
This repository is for all those AI enthusiastics who actually loves to read books and learn.
This is a curated list of essential books for anyone looking to learn about or deepen their knowledge in AI, Machine Learning, Deep Learning, and Data Science. It provides a structured collection of book titles, authors, topic areas, key focuses, and skill levels, complete with direct links to PDFs for convenient access. Data scientists, machine learning engineers, AI researchers, and students can use this to quickly find relevant learning resources.
361 stars.
Use this if you are an AI or ML practitioner, researcher, or student seeking a categorized list of high-quality books to build or advance your expertise across various AI and data science domains.
Not ideal if you are looking for interactive courses, video tutorials, or code-heavy projects rather than theoretical and practical knowledge from books.
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Jan 16, 2026
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