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    Calculus For ML

    Calculus for ML

    Derivatives, gradients, and optimization — the math behind how models actually learn.

    Overview

    Add a short personal take on this subject — why it matters to you, where you use it.

    Key Concepts

    • Derivatives
    • Partial derivatives
    • Gradients
    • Chain rule
    • Gradient descent

    Skills

    Learned

    Skills I'm confident with. Tag with #learned.

    Learning

    Skills I'm actively working on. Tag with #learning.

    To Learn

    Skills on the roadmap. Tag with #to-learn.

    Projects

    Projects that use this subject. These will also show up as backlinks when project notes link here with [[Calculus for ML]].

    Resources

    Books, courses, papers, videos.

    Notes

    Free-form notes, gotchas, insights.