Data Skeptic

A podcast by Kyle Polich

Categories:

Technology

571 Episodes

  1. Team Data Science Process

    Published: 3/12/2019

  2. Ancient Text Restoration

    Published: 1/12/2019

  3. ML Ops

    Published: 27/11/2019

  4. Annotator Bias

    Published: 23/11/2019

  5. NLP for Developers

    Published: 20/11/2019

  6. Indigenous American Language Research

    Published: 13/11/2019

  7. Talking to GPT-2

    Published: 31/10/2019

  8. Reproducing Deep Learning Models

    Published: 23/10/2019

  9. What BERT is Not

    Published: 14/10/2019

  10. SpanBERT

    Published: 8/10/2019

  11. BERT is Shallow

    Published: 23/09/2019

  12. BERT is Magic

    Published: 16/09/2019

  13. Applied Data Science in Industry

    Published: 6/09/2019

  14. Building the howto100m Video Corpus

    Published: 19/08/2019

  15. BERT

    Published: 29/07/2019

  16. Onnx

    Published: 22/07/2019

  17. Catastrophic Forgetting

    Published: 15/07/2019

  18. Transfer Learning

    Published: 8/07/2019

  19. Facebook Bargaining Bots Invented a Language

    Published: 21/06/2019

  20. Under Resourced Languages

    Published: 15/06/2019

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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.
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