Tutorial
Jun 27, 202610 min read
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Types of Machine Learning
Every ML algorithm in this series fits into a broader taxonomy. Before touching a single equation, you need a clear map of what kind of problem you're solving —…
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Linear Regression
Tutorial
Jun 27, 20267 min read
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Equation of a Line, 3D Plane, and Hyperplane
Linear regression is a machine that draws a flat surface through data. Before training weights, you need a geometric grip on what "flat surface" means across 1,…
Tutorial
Jun 25, 20266 min read
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Distance of a Point from a Plane
The distance from a point to a hyperplane is the single geometric quantity that underpins Support Vector Machines, the margin concept, and the intuition behind…
Tutorial
Jun 25, 20266 min read
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Instance-Based vs Model-Based Learning
After training, does the algorithm throw the data away or keep it? That single question separates the two fundamental strategies in ML. Getting the answer wrong…
Tutorial
Jun 25, 20266 min read
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Simple Linear Regression
Simple linear regression is the most constrained version of the problem: one input, one output, find the best line. The derivation is short enough to do by hand…