This visualization displays a hierarchical tree of machine learning concepts, from broad categories like classical learning and neural networks down to specific algorithms such as K-Means and XGBoost. The tree uses a horizontal layout with curved links, and nodes are labeled with their corresponding technique names. Built with D3 v5, it leverages `d3.tree` and `d3.hierarchy` to compute the layout, `d3.linkHorizontal` for the path generator, and `d3.zoom` for pan and zoom interactions. Text color highlights certain parent nodes, and the SVG rendering includes a Playfair Display font for labels.