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Data Council BKK (Virtual) Meetup #6: Explainable Workflows using Python
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When:
Mar 7, 2021 from 10:00 AM to 12:00 PM (TH)
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This talk approaches the typical data science workflow with a focus on explainability. Simply put, it focuses on skills and tactics used to help data scientists articulate their findings to end-users, stake-holders, and other data scientists. From data ingestion, cleaning and feature selection, and ultimately model selection, explainability can be incorporated into a data scientist's workflow. Using a combination of semi-automated and open source software, this talk walks you through an explainable workflow.
Speaker: Austin Eovito is a Data Scientist on the Technical Marketing and Evangelism team in San Francisco, California. As a recent graduate student of Florida State University, Austin is focused on the balance of bleeding-edge research produced by academia and the tools used in applied data science. His Masters thesis was on White Collar Crime using Time-aware Joint-Topic-Sentiment Analysis (TTS), and his areas of interests are NLP, applied data science, and Explainable AI. Austin currently resides in San Francisco, with his fiancé, dog, and two cats.
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https://www.facebook.com/events/136116285063476/
#GlobalDataScience
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http://www.meetup.com/DataCouncil-AI-Bangkok-Data-Engineering-Science/events/276682327/
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Isaiah Brown
Isaiah.Brown@ibm.com
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