Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. [MINI] Reinforcement Learning

    Published: 2/9/2018
  2. Evolutionary Computation

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

    Published: 1/26/2018
  4. Neuroscience Frontiers

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

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

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

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

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

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

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

    Published: 12/8/2017
  12. Quantum Computing

    Published: 12/1/2017
  13. Azure Databricks

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

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

    Published: 11/17/2017
  16. [MINI] Sudoku \in NP

    Published: 11/10/2017
  17. The Computational Complexity of Machine Learning

    Published: 11/3/2017
  18. [MINI] Turing Machines

    Published: 10/27/2017
  19. The Complexity of Learning Neural Networks

    Published: 10/20/2017
  20. [MINI] Big Oh Analysis

    Published: 10/13/2017

18 / 27

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.