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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

These techniques help consolidate word variations, reduce redundancy and limit the size of indexing files. Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., noun, verb, adjective, etc.),

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Data, The Unsung Hero of the Covid-19 Solution

Cloudera

The challenge is particularly intense because the vaccine will not be distributed en masse to all individuals, but by segments that include occupation, age, preexisting risk, and geography. . Thankfully, technology to assist this huge undertaking is more comprehensive than ever before. McKinsey defines Supply Chain 4.0

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Data Science at The New York Times

Domino Data Lab

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.