Democratizing data science

MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data. Democratizing data science is the notion that anyone, with little to no expertise, can do data science if provided ample data and user-friendly analytics tools.

Supporting that idea, the new tool ingests datasets and generates sophisticated statistical models typically used by experts to analyze, interpret, and predict underlying patterns in data. The tool currently lives on Jupyter Notebook, an open-source web framework that allows users to run programs interactively in their browsers.

Author: Rob Matheson

1 reply »

  1. See also Executable English — it supports writing and running of self-explaining QA apps.

    In the online system you can write and immediately run (for example)

    some-person is a man
    that-person is mortal

    without previously defining a vocabulary. The words simply take their meaning from context.

    Some more examples…

    some-person is a Swedish national
    it is very likely that that-person is tall
    it is likely that that-person is blond

    some-person does research into some-subject
    that-subject is a sub topic of some-topic
    that-person does research into that-topic

    How and why this works is a long story, but you can check that it actually does work by writing and running your own examples.

    Just point a browser to


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