SAM · Chance and data · leaf
A dataset is a cloud of points, and statistics are the few numbers that describe its shape.
Before this leaf: Probability, Linear algebra.
This leaf feeds: Linear algebra.
Objects you will meet again: the fifteen.
One row per lesson, in the order the leaf builds up. Each lesson holds its notes, its demos and its challenges on one page. A demo link opens the lesson at that demo.
This leaf is planned. Its lessons are being designed now, and each one appears here when it is built. The strip above shows its planned length.
Regression is the anchor Linear Algebra page 15 promises, and the covariance matrix is symmetric, so PCA becomes a branch off pages 19 and 20. This leaf's hatch fixes the fifteen's values.
Every new word from this leaf appears here, with one sentence and the lesson that introduces it.
The sequencing for this leaf is published with its first lessons.