Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current visualization packages are rudimentary and not immediately helpful to the novice. For example, we couldn't find a library that visualizes how decision nodes split up the feature space.
5 min read · 200 saves · From 2018 · Data Visualisation can be defined as representing numbers with shapes – and no matter what these shapes look like (areas, lines, dots), they need to have a color. Sometimes colors just make the s
5 min read · 96 saves · From 2017 · Data visualization is constantly changing as new technologies emerge and new techniques are discovered. Data visualization rock stars Lena Groeger and Jane Pong look at some of the current trends.