Machine Learning/NBML/Calculus

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Introduction[edit | edit source]

The most relevant Calculus for machine learning involves the Derivatives, and the multi-dimensional version of the derivative, known as the Gradient. If you can compute gradients, you can do Gradient Descent, the most basic form of Optimization.

Resources[edit | edit source]