Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categories:

289 Episodes

  1. How to evaluate a translation: BLEU scores

    Published: 16/01/2017
  2. Zero Shot Translation

    Published: 09/01/2017
  3. Google Neural Machine Translation

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

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

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

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

    Published: 05/12/2016
  8. Recurrent Neural Nets

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

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

    Published: 14/11/2016
  11. Deep Blue

    Published: 07/11/2016
  12. Organizing Google's Datasets

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

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

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

    Published: 09/10/2016
  16. Regularization

    Published: 03/10/2016
  17. The Cold Start Problem

    Published: 26/09/2016
  18. Open Source Software for Data Science

    Published: 19/09/2016
  19. Scikit + Optimization = Scikit-Optimize

    Published: 12/09/2016
  20. Two Cultures: Machine Learning and Statistics

    Published: 05/09/2016

10 / 15

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