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Activities & events
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Latent Calendar: Modeling Weekly Behavior with Latent Components
2023-10-25 Β· 16:00
ποΈ Speaker: Will Dean\, Thomas Wiecki \| β° Time: 16:00 UTC / 9am PT / 12pm ET / 6pm Berlin Discuss using a classical Natural Language Processing technique for modeling weekly calendar data through a shift in vocabulary (pun intended). By using Latent Dirichlet Allocation to model discretized calendar events, the modelβs probabilistic origin and Bayesian connection can be leveraged for various applications and insights. For a sneak peek, check out the "latent-calendar" on PyPI or see an example here: https://wd60622.github.io/latent-calendar/examples/datasets/bikes-in-chicago/ π Outline of Talk / Agenda:
πΌ About the speaker:
π Connect with Will Dean: π LinkedIn: https://www.linkedin.com/in/williambdean/ π GitHub: https://github.com/wd60622
Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience. π Connect with Thomas Wiecki: π Website: https://www.pymc-labs.com/ π GitHub: https://github.com/twiecki π Twitter: https://twitter.com/twiecki π Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct. π Connecting with PyMC Labs: π₯ LinkedIn: https://www.linkedin.com/company/pymc-labs/ π¦ Twitter: https://twitter.com/pymc_labs π₯ YouTube: https://www.youtube.com/c/PyMCLabs π€ Meetup: https://www.meetup.com/pymc-labs-online-meetup/ π Connecting with PyMC Open Source: π¬ Q&A/Discussion: https://discourse.pymc.io π GitHub: https://github.com/pymc-devs/pymc πΌ LinkedIn: https://www.linkedin.com/company/pymc/mycompany π₯ Twitter: https://twitter.com/pymc_devs πΊ YouTube: https://www.youtube.com/c/PyMCDevelopers π Meetup: https://www.meetup.com/pymc-online-meetup/ |
Latent Calendar: Modeling Weekly Behavior with Latent Components
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