Linear Digressions
A podcast by Ben Jaffe and Katie Malone
Categories:
289 Episoade
-
Anscombe's Quartet
Publicat: 19.06.2017 -
Traffic Metering Algorithms
Publicat: 12.06.2017 -
Page Rank
Publicat: 05.06.2017 -
Fractional Dimensions
Publicat: 29.05.2017 -
Things You Learn When Building Models for Big Data
Publicat: 22.05.2017 -
How to Find New Things to Learn
Publicat: 15.05.2017 -
Federated Learning
Publicat: 08.05.2017 -
Word2Vec
Publicat: 01.05.2017 -
Feature Processing for Text Analytics
Publicat: 24.04.2017 -
Education Analytics
Publicat: 17.04.2017 -
A Technical Deep Dive on Stanley, the First Self-Driving Car
Publicat: 10.04.2017 -
An Introduction to Stanley, the First Self-Driving Car
Publicat: 03.04.2017 -
Feature Importance
Publicat: 27.03.2017 -
Space Codes!
Publicat: 20.03.2017 -
Finding (and Studying) Wikipedia Trolls
Publicat: 13.03.2017 -
A Sprint Through What's New in Neural Networks
Publicat: 06.03.2017 -
Empirical Bayes
Publicat: 20.02.2017 -
Endogenous Variables and Measuring Protest Effectiveness
Publicat: 13.02.2017 -
Calibrated Models
Publicat: 06.02.2017 -
Ensemble Algorithms
Publicat: 23.01.2017
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.