Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. [MINI] Recurrent Neural Networks

    Publicado: 18/8/2017
  2. Project Common Voice

    Publicado: 11/8/2017
  3. [MINI] Bayesian Belief Networks

    Publicado: 4/8/2017
  4. pix2code

    Publicado: 28/7/2017
  5. [MINI] Conditional Independence

    Publicado: 21/7/2017
  6. Estimating Sheep Pain with Facial Recognition

    Publicado: 14/7/2017
  7. CosmosDB

    Publicado: 7/7/2017
  8. [MINI] The Vanishing Gradient

    Publicado: 30/6/2017
  9. Doctor AI

    Publicado: 23/6/2017
  10. [MINI] Activation Functions

    Publicado: 16/6/2017
  11. MS Build 2017

    Publicado: 9/6/2017
  12. [MINI] Max-pooling

    Publicado: 2/6/2017
  13. Unsupervised Depth Perception

    Publicado: 26/5/2017
  14. [MINI] Convolutional Neural Networks

    Publicado: 19/5/2017
  15. Multi-Agent Diverse Generative Adversarial Networks

    Publicado: 12/5/2017
  16. [MINI] Generative Adversarial Networks

    Publicado: 5/5/2017
  17. Opinion Polls for Presidential Elections

    Publicado: 28/4/2017
  18. OpenHouse

    Publicado: 21/4/2017
  19. [MINI] GPU CPU

    Publicado: 14/4/2017
  20. [MINI] Backpropagation

    Publicado: 7/4/2017

20 / 28

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.

Visit the podcast's native language site