Communications of the ACM
Democratizing Data Science
Researchers at the Massachusetts Institute of Technology hope to advance the democratization of data science with a new tool for non-programmers that automatically generates models for analyzing raw data.
Credit: Christine Daniloff/MIT
Massachusetts Institute of Technology (MIT) researchers have developed a tool for nonstatisticians that automatically generates models for analyzing raw data.
The tool takes in datasets and generates sophisticated statistical models normally used by experts to analyze, interpret, and predict underlying patterns in data.
The tool currently resides on Jupyter Notebook, an open source Web framework that allows users to run programs interactively in browsers; users can write just a few lines of code to uncover insights into a range of topics.
The system uses Bayesian modeling, a statistical method that continuously updates the probability of a variable as more information about the variable becomes available.
The tool uses a modified version of "program synthesis," a technique that automatically creates computer programs given data and a language to work within.
Said MIT’s Feras Saad, “People have a lot of datasets that are sitting around, and our goal is to build systems that let people automatically get models they can use to ask questions about that data.”
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA
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