Data Skeptic

En podkast av Kyle Polich

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549 Episoder

  1. [MINI] Conditional Independence

    Publisert: 21.7.2017
  2. Estimating Sheep Pain with Facial Recognition

    Publisert: 14.7.2017
  3. CosmosDB

    Publisert: 7.7.2017
  4. [MINI] The Vanishing Gradient

    Publisert: 30.6.2017
  5. Doctor AI

    Publisert: 23.6.2017
  6. [MINI] Activation Functions

    Publisert: 16.6.2017
  7. MS Build 2017

    Publisert: 9.6.2017
  8. [MINI] Max-pooling

    Publisert: 2.6.2017
  9. Unsupervised Depth Perception

    Publisert: 26.5.2017
  10. [MINI] Convolutional Neural Networks

    Publisert: 19.5.2017
  11. Multi-Agent Diverse Generative Adversarial Networks

    Publisert: 12.5.2017
  12. [MINI] Generative Adversarial Networks

    Publisert: 5.5.2017
  13. Opinion Polls for Presidential Elections

    Publisert: 28.4.2017
  14. OpenHouse

    Publisert: 21.4.2017
  15. [MINI] GPU CPU

    Publisert: 14.4.2017
  16. [MINI] Backpropagation

    Publisert: 7.4.2017
  17. Data Science at Patreon

    Publisert: 31.3.2017
  18. [MINI] Feed Forward Neural Networks

    Publisert: 24.3.2017
  19. Reinventing Sponsored Search Auctions

    Publisert: 17.3.2017
  20. [MINI] The Perceptron

    Publisert: 10.3.2017

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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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