Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Quantum Computing

    Publié: 01/12/2017
  2. Azure Databricks

    Publié: 28/11/2017
  3. [MINI] Exponential Time Algorithms

    Publié: 24/11/2017
  4. P vs NP

    Publié: 17/11/2017
  5. [MINI] Sudoku \in NP

    Publié: 10/11/2017
  6. The Computational Complexity of Machine Learning

    Publié: 03/11/2017
  7. [MINI] Turing Machines

    Publié: 27/10/2017
  8. The Complexity of Learning Neural Networks

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

    Publié: 13/10/2017
  10. Data science tools and other announcements from Ignite

    Publié: 06/10/2017
  11. Generative AI for Content Creation

    Publié: 29/09/2017
  12. [MINI] One Shot Learning

    Publié: 22/09/2017
  13. Recommender Systems Live from FARCON 2017

    Publié: 15/09/2017
  14. [MINI] Long Short Term Memory

    Publié: 08/09/2017
  15. Zillow Zestimate

    Publié: 01/09/2017
  16. Cardiologist Level Arrhythmia Detection with CNNs

    Publié: 25/08/2017
  17. [MINI] Recurrent Neural Networks

    Publié: 18/08/2017
  18. Project Common Voice

    Publié: 11/08/2017
  19. [MINI] Bayesian Belief Networks

    Publié: 04/08/2017
  20. pix2code

    Publié: 28/07/2017

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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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