300 episodes

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.

Data Skeptic Kyle Polich

    • Science
    • 5.0, 1 Rating

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.

    Listener Survey Review

    Listener Survey Review

    In this episode, Kyle and Linhda review the results of our recent survey. Hear all about the demographic details and how we interpret these results.

    • 23 min
    Human Computer Interaction and Online Privacy

    Human Computer Interaction and Online Privacy

    Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.

    • 32 min
    Authorship Attribution of Lennon McCartney Songs

    Authorship Attribution of Lennon McCartney Songs

    Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.

    • 33 min
    GANs Can Be Interpretable

    GANs Can Be Interpretable

    Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it’s accompanying codebase found here. Erik mentions the GANspace collab notebook which is a rapid way to try these ideas out for yourself.

    • 26 min
    Sentiment Preserving Fake Reviews

    Sentiment Preserving Fake Reviews

    David Ifeoluwa Adelani joins us to discuss Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection.

    • 28 min
    Interpretability Practitioners

    Interpretability Practitioners

    Sungsoo Ray Hong joins us to discuss the paper Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.

    • 32 min

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