Linear Digressions

Un pódcast de Ben Jaffe and Katie Malone

Categorías:

289 Episodo

  1. How to evaluate a translation: BLEU scores

    Publicado: 16/1/2017
  2. Zero Shot Translation

    Publicado: 9/1/2017
  3. Google Neural Machine Translation

    Publicado: 2/1/2017
  4. Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might

    Publicado: 26/12/2016
  5. Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil

    Publicado: 18/12/2016
  6. How to Lose at Kaggle

    Publicado: 12/12/2016
  7. Attacking Discrimination in Machine Learning

    Publicado: 5/12/2016
  8. Recurrent Neural Nets

    Publicado: 28/11/2016
  9. Stealing a PIN with signal processing and machine learning

    Publicado: 21/11/2016
  10. Neural Net Cryptography

    Publicado: 14/11/2016
  11. Deep Blue

    Publicado: 7/11/2016
  12. Organizing Google's Datasets

    Publicado: 31/10/2016
  13. Fighting Cancer with Data Science: Followup

    Publicado: 24/10/2016
  14. The 19-year-old determining the US election

    Publicado: 17/10/2016
  15. How to Steal a Model

    Publicado: 9/10/2016
  16. Regularization

    Publicado: 3/10/2016
  17. The Cold Start Problem

    Publicado: 26/9/2016
  18. Open Source Software for Data Science

    Publicado: 19/9/2016
  19. Scikit + Optimization = Scikit-Optimize

    Publicado: 12/9/2016
  20. Two Cultures: Machine Learning and Statistics

    Publicado: 5/9/2016

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In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

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