
Decision Trees
A visual introduction to decision trees, entropy and information gain.
Computer Science
Amazon Machine Learning University visual essays on core ML concepts.
mlu-explain.github.io4 selected projects, with credit and a path to the original.

A visual introduction to decision trees, entropy and information gain.

Learn the tradeoff between under- and over-fitting models.

A visual introduction to the double descent phenomenon in modern machine learning.

A visual explanation of ROC curves and AUC.
Original publication and update records, plus explicitly labeled repository milestones.
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Amazon Machine Learning University visual essays on core ML concepts.
This selection connects 4 projects across writing. Follow the project links for the original experience; use the build log for dated context where evidence is available.
Compiled from public catalog attributions and linked original sources. Descriptions are editorial summaries, not statements made by the creator. This profile has not been claimed or endorsed.
Catalog sources gathered October 23, 2026. Primary-source access varies, particularly on social platforms. This is a selected portfolio, not a lifetime total. Images remain credited to their original creators.