vinsis/math-and-ml-notes
Books, papers and links to latest research in ML/AI
This is a curated collection of research papers and detailed notes on advanced machine learning topics like unsupervised learning, disentangled representations, and self-supervised learning. It provides an organized way to explore complex theoretical concepts and their practical applications. The resource is ideal for machine learning researchers, data scientists, or AI practitioners who need to deepen their understanding of cutting-edge algorithms and models.
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Use this if you are a machine learning professional or researcher looking for in-depth explanations and resources on advanced ML topics to enhance your knowledge or inform your model development.
Not ideal if you are looking for ready-to-use code, beginner-friendly tutorials, or a general overview of basic machine learning concepts.
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Jupyter Notebook
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MIT
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Jul 08, 2024
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