Linear Digressions
A podcast by Ben Jaffe and Katie Malone
Categorie:
289 Episodio
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So long, and thanks for all the fish
Pubblicato: 26/7/2020 -
A Reality Check on AI-Driven Medical Assistants
Pubblicato: 19/7/2020 -
A Data Science Take on Open Policing Data
Pubblicato: 13/7/2020 -
Procella: YouTube's super-system for analytics data storage
Pubblicato: 6/7/2020 -
The Data Science Open Source Ecosystem
Pubblicato: 29/6/2020 -
Rock the ROC Curve
Pubblicato: 21/6/2020 -
Criminology and Data Science
Pubblicato: 15/6/2020 -
Racism, the criminal justice system, and data science
Pubblicato: 7/6/2020 -
An interstitial word from Ben
Pubblicato: 5/6/2020 -
Convolutional Neural Networks
Pubblicato: 31/5/2020 -
Stein's Paradox
Pubblicato: 24/5/2020 -
Protecting Individual-Level Census Data with Differential Privacy
Pubblicato: 18/5/2020 -
Causal Trees
Pubblicato: 11/5/2020 -
The Grammar Of Graphics
Pubblicato: 4/5/2020 -
Gaussian Processes
Pubblicato: 27/4/2020 -
Keeping ourselves honest when we work with observational healthcare data
Pubblicato: 20/4/2020 -
Changing our formulation of AI to avoid runaway risks: Interview with Prof. Stuart Russell
Pubblicato: 13/4/2020 -
Putting machine learning into a database
Pubblicato: 6/4/2020 -
The work-from-home episode
Pubblicato: 29/3/2020 -
Understanding Covid-19 transmission: what the data suggests about how the disease spreads
Pubblicato: 23/3/2020
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.