DrugowitschLab/ML-from-scratch-seminar
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
This repository provides educational materials for a seminar at Harvard Medical School focused on understanding machine learning algorithms from fundamental principles. It helps graduate students and postdocs grasp the core mechanics, strengths, and limitations of various ML models by examining both the theory and building minimal Python implementations. The audience is researchers and academics in neurobiology and related fields who want a deeper, 'from-scratch' understanding of machine learning.
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Use this if you are a graduate student or postdoc in a scientific field, particularly neurobiology, seeking to understand the underlying computational principles of machine learning models through hands-on coding and theoretical discussion.
Not ideal if you are looking for ready-to-use, production-grade machine learning libraries or a high-level overview without diving into implementation details.
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Jupyter Notebook
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MIT
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Oct 19, 2024
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