Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categories:

289 Episoade

  1. How to evaluate a translation: BLEU scores

    Publicat: 16.01.2017
  2. Zero Shot Translation

    Publicat: 09.01.2017
  3. Google Neural Machine Translation

    Publicat: 02.01.2017
  4. Data and the Future of Medicine : Interview with Precision Medicine Initiative researcher Matt Might

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

    Publicat: 18.12.2016
  6. How to Lose at Kaggle

    Publicat: 12.12.2016
  7. Attacking Discrimination in Machine Learning

    Publicat: 05.12.2016
  8. Recurrent Neural Nets

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

    Publicat: 21.11.2016
  10. Neural Net Cryptography

    Publicat: 14.11.2016
  11. Deep Blue

    Publicat: 07.11.2016
  12. Organizing Google's Datasets

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

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

    Publicat: 17.10.2016
  15. How to Steal a Model

    Publicat: 09.10.2016
  16. Regularization

    Publicat: 03.10.2016
  17. The Cold Start Problem

    Publicat: 26.09.2016
  18. Open Source Software for Data Science

    Publicat: 19.09.2016
  19. Scikit + Optimization = Scikit-Optimize

    Publicat: 12.09.2016
  20. Two Cultures: Machine Learning and Statistics

    Publicat: 05.09.2016

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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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