Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. [MINI] Conditional Independence

    Published: 21/07/2017
  2. Estimating Sheep Pain with Facial Recognition

    Published: 14/07/2017
  3. CosmosDB

    Published: 7/07/2017
  4. [MINI] The Vanishing Gradient

    Published: 30/06/2017
  5. Doctor AI

    Published: 23/06/2017
  6. [MINI] Activation Functions

    Published: 16/06/2017
  7. MS Build 2017

    Published: 9/06/2017
  8. [MINI] Max-pooling

    Published: 2/06/2017
  9. Unsupervised Depth Perception

    Published: 26/05/2017
  10. [MINI] Convolutional Neural Networks

    Published: 19/05/2017
  11. Multi-Agent Diverse Generative Adversarial Networks

    Published: 12/05/2017
  12. [MINI] Generative Adversarial Networks

    Published: 5/05/2017
  13. Opinion Polls for Presidential Elections

    Published: 28/04/2017
  14. OpenHouse

    Published: 21/04/2017
  15. [MINI] GPU CPU

    Published: 14/04/2017
  16. [MINI] Backpropagation

    Published: 7/04/2017
  17. Data Science at Patreon

    Published: 31/03/2017
  18. [MINI] Feed Forward Neural Networks

    Published: 24/03/2017
  19. Reinventing Sponsored Search Auctions

    Published: 17/03/2017
  20. [MINI] The Perceptron

    Published: 10/03/2017

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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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