Linear Digressions

En podkast av Ben Jaffe and Katie Malone

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289 Episoder

  1. How to evaluate a translation: BLEU scores

    Publisert: 16.1.2017
  2. Zero Shot Translation

    Publisert: 9.1.2017
  3. Google Neural Machine Translation

    Publisert: 2.1.2017
  4. Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might

    Publisert: 26.12.2016
  5. Special Crossover Episode: Partially Derivative interview with White House Data Scientist DJ Patil

    Publisert: 18.12.2016
  6. How to Lose at Kaggle

    Publisert: 12.12.2016
  7. Attacking Discrimination in Machine Learning

    Publisert: 5.12.2016
  8. Recurrent Neural Nets

    Publisert: 28.11.2016
  9. Stealing a PIN with signal processing and machine learning

    Publisert: 21.11.2016
  10. Neural Net Cryptography

    Publisert: 14.11.2016
  11. Deep Blue

    Publisert: 7.11.2016
  12. Organizing Google's Datasets

    Publisert: 31.10.2016
  13. Fighting Cancer with Data Science: Followup

    Publisert: 24.10.2016
  14. The 19-year-old determining the US election

    Publisert: 17.10.2016
  15. How to Steal a Model

    Publisert: 9.10.2016
  16. Regularization

    Publisert: 3.10.2016
  17. The Cold Start Problem

    Publisert: 26.9.2016
  18. Open Source Software for Data Science

    Publisert: 19.9.2016
  19. Scikit + Optimization = Scikit-Optimize

    Publisert: 12.9.2016
  20. Two Cultures: Machine Learning and Statistics

    Publisert: 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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