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InfoQ Homepage Presentations Insights from History of Rock Music via Machine Learning

Insights from History of Rock Music via Machine Learning

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Summary

Ali Kheyrollahi uses clustering and network analysis algorithms to analyze the publicly available Wiki data on rock music to find mathematical relationship between artists, trends and subgenres.

Bio

Ali Kheyrollahi is a solution architect building web scale solutions, trying to marry scalability with performance. He loves HTTP, API design and business-modelling DDD-style. An Open Source author and blogger, he tries to give back to the community what he has gratefully taken from it. He is a blogger and has co-authored a book.

About the conference

“BUILD STUFF” is a Software Development Conference for people who actually build stuff. We bring world-class speakers, letting them share about the latest developments, trends and innovations, as well as new directions in software development. Since launching in 2012, it’s really caught on quickly.

Recorded at:

Mar 22, 2016

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Community comments

  • No Machine Learning

    by Dan Osipov,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    There was hardly any machine learning in this presentation, despite the title - just data analysis.

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