• Data Skeptic

  • 著者: Kyle Polich
  • ポッドキャスト

Data Skeptic

著者: Kyle Polich
  • サマリー

  • The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
    Creative Commons Attribution License 3.0
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  • Reducing the Impact of Ship Noise on Marine Mammals
    2024/07/01

    Human shipping operations have increased significantly in the past few decades. While that means international trade and cheap goods for humans, it also means the ocean has experienced an increase in noise pollution. This has a measurable negative impact on marine mammals and other aquatic life. Could mathematics be the solution? This interview explores how optimization techniques can guide voyage optimization in a way that handles multiple optimization objectives including fuel cost and sound reduction.

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    36 分
  • Analysis of Unstructured Data
    2024/06/28

    Robbie Moon from the Georgia Tech Scheller College of Business joins us to discuss the analysis of unstructured data and the application of NLP methodologies towards financial data.

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    27 分
  • iNaturalist
    2024/06/24

    Have you ever participated in citizen science? Do you want to? One of the most popular platforms for crowdsourcing biodiversity data is iNaturalist. In addition to being a great science tool, the iNaturalist app can help you identify the organisms you encounter every day. We talked to Executive Director Scott Laurie about how scientists use iNaturalist. We also got to discuss what makes iNaturalist’s AI species recognition so good, and how citizen scientists are constantly providing high-quality training data. Listen in and learn how this fun-to-use tool works, where it's headed, and how you can get involved.

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    38 分

あらすじ・解説

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
Creative Commons Attribution License 3.0

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