Data Skeptic

A podcast by Kyle Polich

Categories:

549 Episodes

  1. ML Ops

    Published: 27/11/2019
  2. Annotator Bias

    Published: 23/11/2019
  3. NLP for Developers

    Published: 20/11/2019
  4. Indigenous American Language Research

    Published: 13/11/2019
  5. Talking to GPT-2

    Published: 31/10/2019
  6. Reproducing Deep Learning Models

    Published: 23/10/2019
  7. What BERT is Not

    Published: 14/10/2019
  8. SpanBERT

    Published: 8/10/2019
  9. BERT is Shallow

    Published: 23/09/2019
  10. BERT is Magic

    Published: 16/09/2019
  11. Applied Data Science in Industry

    Published: 6/09/2019
  12. Building the howto100m Video Corpus

    Published: 19/08/2019
  13. BERT

    Published: 29/07/2019
  14. Onnx

    Published: 22/07/2019
  15. Catastrophic Forgetting

    Published: 15/07/2019
  16. Transfer Learning

    Published: 8/07/2019
  17. Facebook Bargaining Bots Invented a Language

    Published: 21/06/2019
  18. Under Resourced Languages

    Published: 15/06/2019
  19. Named Entity Recognition

    Published: 8/06/2019
  20. The Death of a Language

    Published: 1/06/2019

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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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