Stephanie Yee and Tony Chu of statistics and design website R2D3 have created a series of data visualizations that illustrate the process of developing and training a machine learning model called a decision tree. Decision trees can be valuable analytical tools, but designing them to produce the most accurate predictions can be difficult . The visualizations serve as an introduction to this machine learning technique for those unfamiliar with how such algorithms work or how they are useful in processing data.
Visualizing How Machines Learn
Joshua New was a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life.
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