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imteekay/machine-learning-research

A structured learning roadmap covering mathematics, programming, machine learning, deep learning, LLMs, and scientific applications for aspiring ML practitioners.

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This repository provides a curated learning path for machine learning and artificial intelligence. It organizes resources across foundational mathematics, programming skills, and core AI topics including deep learning, transformers, large language models, and generative AI. The collection also covers domain applications in computational biology and healthcare, and includes study guides for career preparation in the field.

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