Linear Digressions

En podcast av Ben Jaffe and Katie Malone

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289 Avsnitt

  1. How to evaluate a translation: BLEU scores

    Publicerades: 2017-01-16
  2. Zero Shot Translation

    Publicerades: 2017-01-09
  3. Google Neural Machine Translation

    Publicerades: 2017-01-02
  4. Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might

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

    Publicerades: 2016-12-18
  6. How to Lose at Kaggle

    Publicerades: 2016-12-12
  7. Attacking Discrimination in Machine Learning

    Publicerades: 2016-12-05
  8. Recurrent Neural Nets

    Publicerades: 2016-11-28
  9. Stealing a PIN with signal processing and machine learning

    Publicerades: 2016-11-21
  10. Neural Net Cryptography

    Publicerades: 2016-11-14
  11. Deep Blue

    Publicerades: 2016-11-07
  12. Organizing Google's Datasets

    Publicerades: 2016-10-31
  13. Fighting Cancer with Data Science: Followup

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

    Publicerades: 2016-10-17
  15. How to Steal a Model

    Publicerades: 2016-10-09
  16. Regularization

    Publicerades: 2016-10-03
  17. The Cold Start Problem

    Publicerades: 2016-09-26
  18. Open Source Software for Data Science

    Publicerades: 2016-09-19
  19. Scikit + Optimization = Scikit-Optimize

    Publicerades: 2016-09-12
  20. Two Cultures: Machine Learning and Statistics

    Publicerades: 2016-09-05

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

Visit the podcast's native language site