Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. [MINI] Conditional Independence

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

    Publié: 14/07/2017
  3. CosmosDB

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

    Publié: 30/06/2017
  5. Doctor AI

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

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

    Publié: 09/06/2017
  8. [MINI] Max-pooling

    Publié: 02/06/2017
  9. Unsupervised Depth Perception

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

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

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

    Publié: 05/05/2017
  13. Opinion Polls for Presidential Elections

    Publié: 28/04/2017
  14. OpenHouse

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

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

    Publié: 07/04/2017
  17. Data Science at Patreon

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

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

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

    Publié: 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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