298 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

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.

    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
    Jumpstart Your ML Project

    Jumpstart Your ML Project

    Seth Juarez joins us to discuss the toolbox of options available to a data scientist to jumpstart or extend their machine learning efforts.

    • 20 min

Customer Reviews

Peaceful bird ,

Good. Could be great.

This show is very good, but would be great if the co-host was more science-minded. As it stands, the mini episodes consist of Kyle explaining technical concepts to Linh Da, who is intended to be the layperson and prevent Kyle from getting too jargon-y. She is effective in that capacity.

However, quite a bit of time gets wasted with arguments that would mostly not occur if Kyle were speaking to, say, a trained biologist, or even an attorney. Because it gets pretty annoying, I have to keep my listening of the show fairly sparse.

Great show overall, and the deeper dives with guests are killer.

almennur ,

All things Microsoft

The recent episodes suspiciously feature only people from Microsoft who tout Azure.

LizRr78 ,

Could be better

Would rate higher, but the “banter” drives me up a wall.

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