299 episódios

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

    • Ciência

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.

    Interpretable One Shot Learning

    Interpretable One Shot Learning

    We welcome Su Wang back to Data Skeptic to discuss the paper Distributional modeling on a diet: One-shot word learning from text only.

    • 30 min
    Fooling Computer Vision

    Fooling Computer Vision

    Wiebe van Ranst joins us to talk about a project in which specially designed printed images can fool a computer vision system, preventing it from identifying a person.  Their attack targets the popular YOLO2 pre-trained image recognition model, and thus, is likely to be widely applicable.

    • 25 min
    Algorithmic Fairness

    Algorithmic Fairness

    This episode includes an interview with Aaron Roth author of The Ethical Algorithm.

    • 42 min
    Interpretability

    Interpretability

    Interpretability Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask.
    Welcome to Data Skeptic Interpretability.
    In this episode, Kyle interviews Christoph Molnar about his book Interpretable Machine Learning.
    Thanks to our sponsor, the Gartner Data & Analytics Summit going on in Grapevine, TX on March 23 – 26, 2020. Use discount code: dataskeptic.
    Music Our new theme song is #5 by Big D and the Kids Table.
    Incidental music by Tanuki Suit Riot.

    • 32 min
    NLP in 2019

    NLP in 2019

    A year in recap.

    • 38 min
    The Limits of NLP

    The Limits of NLP

    We are joined by Colin Raffel to discuss the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer".

    • 29 min

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