Data Skeptic

En podkast av Kyle Polich

Kategorier:

549 Episoder

  1. Quantum Computing

    Publisert: 1.12.2017
  2. Azure Databricks

    Publisert: 28.11.2017
  3. [MINI] Exponential Time Algorithms

    Publisert: 24.11.2017
  4. P vs NP

    Publisert: 17.11.2017
  5. [MINI] Sudoku \in NP

    Publisert: 10.11.2017
  6. The Computational Complexity of Machine Learning

    Publisert: 3.11.2017
  7. [MINI] Turing Machines

    Publisert: 27.10.2017
  8. The Complexity of Learning Neural Networks

    Publisert: 20.10.2017
  9. [MINI] Big Oh Analysis

    Publisert: 13.10.2017
  10. Data science tools and other announcements from Ignite

    Publisert: 6.10.2017
  11. Generative AI for Content Creation

    Publisert: 29.9.2017
  12. [MINI] One Shot Learning

    Publisert: 22.9.2017
  13. Recommender Systems Live from FARCON 2017

    Publisert: 15.9.2017
  14. [MINI] Long Short Term Memory

    Publisert: 8.9.2017
  15. Zillow Zestimate

    Publisert: 1.9.2017
  16. Cardiologist Level Arrhythmia Detection with CNNs

    Publisert: 25.8.2017
  17. [MINI] Recurrent Neural Networks

    Publisert: 18.8.2017
  18. Project Common Voice

    Publisert: 11.8.2017
  19. [MINI] Bayesian Belief Networks

    Publisert: 4.8.2017
  20. pix2code

    Publisert: 28.7.2017

19 / 28

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.

Visit the podcast's native language site