Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. Holiday reading 2017

    Publicado: 22/12/2017
  2. Complexity and Cryptography

    Publicado: 15/12/2017
  3. Mercedes Benz Machine Learning Research

    Publicado: 14/12/2017
  4. [MINI] Parallel Algorithms

    Publicado: 8/12/2017
  5. Quantum Computing

    Publicado: 1/12/2017
  6. Azure Databricks

    Publicado: 28/11/2017
  7. [MINI] Exponential Time Algorithms

    Publicado: 24/11/2017
  8. P vs NP

    Publicado: 17/11/2017
  9. [MINI] Sudoku \in NP

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

    Publicado: 3/11/2017
  11. [MINI] Turing Machines

    Publicado: 27/10/2017
  12. The Complexity of Learning Neural Networks

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

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

    Publicado: 6/10/2017
  15. Generative AI for Content Creation

    Publicado: 29/9/2017
  16. [MINI] One Shot Learning

    Publicado: 22/9/2017
  17. Recommender Systems Live from FARCON 2017

    Publicado: 15/9/2017
  18. [MINI] Long Short Term Memory

    Publicado: 8/9/2017
  19. Zillow Zestimate

    Publicado: 1/9/2017
  20. Cardiologist Level Arrhythmia Detection with CNNs

    Publicado: 25/8/2017

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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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