Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. [MINI] Convolutional Neural Networks

    Published: 5/19/2017
  2. Multi-Agent Diverse Generative Adversarial Networks

    Published: 5/12/2017
  3. [MINI] Generative Adversarial Networks

    Published: 5/5/2017
  4. Opinion Polls for Presidential Elections

    Published: 4/28/2017
  5. OpenHouse

    Published: 4/21/2017
  6. [MINI] GPU CPU

    Published: 4/14/2017
  7. [MINI] Backpropagation

    Published: 4/7/2017
  8. Data Science at Patreon

    Published: 3/31/2017
  9. [MINI] Feed Forward Neural Networks

    Published: 3/24/2017
  10. Reinventing Sponsored Search Auctions

    Published: 3/17/2017
  11. [MINI] The Perceptron

    Published: 3/10/2017
  12. The Data Refuge Project

    Published: 3/3/2017
  13. [MINI] Automated Feature Engineering

    Published: 2/24/2017
  14. Big Data Tools and Trends

    Published: 2/17/2017
  15. [MINI] Primer on Deep Learning

    Published: 2/10/2017
  16. Data Provenance and Reproducibility with Pachyderm

    Published: 2/3/2017
  17. [MINI] Logistic Regression on Audio Data

    Published: 1/27/2017
  18. Studying Competition and Gender Through Chess

    Published: 1/20/2017
  19. [MINI] Dropout

    Published: 1/13/2017
  20. The Police Data and the Data Driven Justice Initiatives

    Published: 1/6/2017

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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.