Data Skeptic

A podcast by Kyle Polich

Categories:

565 Episodes

  1. The Master Algorithm

    Published: 3/16/2018
  2. The No Free Lunch Theorems

    Published: 3/9/2018
  3. ML at Sloan Kettering Cancer Center

    Published: 3/2/2018
  4. Optimal Decision Making with POMDPs

    Published: 2/23/2018
  5. AI Decision-Making

    Published: 2/16/2018
  6. [MINI] Reinforcement Learning

    Published: 2/9/2018
  7. Evolutionary Computation

    Published: 2/2/2018
  8. [MINI] Markov Decision Processes

    Published: 1/26/2018
  9. Neuroscience Frontiers

    Published: 1/19/2018
  10. Neuroimaging and Big Data

    Published: 1/12/2018
  11. The Agent Model of Artificial Intelligence

    Published: 1/5/2018
  12. Artificial Intelligence, a Podcast Approach

    Published: 12/29/2017
  13. Holiday reading 2017

    Published: 12/22/2017
  14. Complexity and Cryptography

    Published: 12/15/2017
  15. Mercedes Benz Machine Learning Research

    Published: 12/14/2017
  16. [MINI] Parallel Algorithms

    Published: 12/8/2017
  17. Quantum Computing

    Published: 12/1/2017
  18. Azure Databricks

    Published: 11/28/2017
  19. [MINI] Exponential Time Algorithms

    Published: 11/24/2017
  20. P vs NP

    Published: 11/17/2017

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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.