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.
Frequently asked
- What is imteekay/machine-learning-research?
- A structured learning roadmap covering mathematics, programming, machine learning, deep learning, LLMs, and scientific applications for aspiring ML practitioners.
- Is machine-learning-research open source?
- Yes — imteekay/machine-learning-research is open source, released under the MIT license.
- What language is machine-learning-research written in?
- imteekay/machine-learning-research is primarily written in Jupyter Notebook.
- How popular is machine-learning-research?
- imteekay/machine-learning-research has 448 stars on GitHub.
- Where can I find machine-learning-research?
- imteekay/machine-learning-research is on GitHub at https://github.com/imteekay/machine-learning-research.