Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categorie:

289 Episodio

  1. So long, and thanks for all the fish

    Pubblicato: 26/7/2020
  2. A Reality Check on AI-Driven Medical Assistants

    Pubblicato: 19/7/2020
  3. A Data Science Take on Open Policing Data

    Pubblicato: 13/7/2020
  4. Procella: YouTube's super-system for analytics data storage

    Pubblicato: 6/7/2020
  5. The Data Science Open Source Ecosystem

    Pubblicato: 29/6/2020
  6. Rock the ROC Curve

    Pubblicato: 21/6/2020
  7. Criminology and Data Science

    Pubblicato: 15/6/2020
  8. Racism, the criminal justice system, and data science

    Pubblicato: 7/6/2020
  9. An interstitial word from Ben

    Pubblicato: 5/6/2020
  10. Convolutional Neural Networks

    Pubblicato: 31/5/2020
  11. Stein's Paradox

    Pubblicato: 24/5/2020
  12. Protecting Individual-Level Census Data with Differential Privacy

    Pubblicato: 18/5/2020
  13. Causal Trees

    Pubblicato: 11/5/2020
  14. The Grammar Of Graphics

    Pubblicato: 4/5/2020
  15. Gaussian Processes

    Pubblicato: 27/4/2020
  16. Keeping ourselves honest when we work with observational healthcare data

    Pubblicato: 20/4/2020
  17. Changing our formulation of AI to avoid runaway risks: Interview with Prof. Stuart Russell

    Pubblicato: 13/4/2020
  18. Putting machine learning into a database

    Pubblicato: 6/4/2020
  19. The work-from-home episode

    Pubblicato: 29/3/2020
  20. Understanding Covid-19 transmission: what the data suggests about how the disease spreads

    Pubblicato: 23/3/2020

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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