Linear Digressions
Un pódcast de Ben Jaffe and Katie Malone
Categorías:
289 Episodo
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Anscombe's Quartet
Publicado: 19/6/2017 -
Traffic Metering Algorithms
Publicado: 12/6/2017 -
Page Rank
Publicado: 5/6/2017 -
Fractional Dimensions
Publicado: 29/5/2017 -
Things You Learn When Building Models for Big Data
Publicado: 22/5/2017 -
How to Find New Things to Learn
Publicado: 15/5/2017 -
Federated Learning
Publicado: 8/5/2017 -
Word2Vec
Publicado: 1/5/2017 -
Feature Processing for Text Analytics
Publicado: 24/4/2017 -
Education Analytics
Publicado: 17/4/2017 -
A Technical Deep Dive on Stanley, the First Self-Driving Car
Publicado: 10/4/2017 -
An Introduction to Stanley, the First Self-Driving Car
Publicado: 3/4/2017 -
Feature Importance
Publicado: 27/3/2017 -
Space Codes!
Publicado: 20/3/2017 -
Finding (and Studying) Wikipedia Trolls
Publicado: 13/3/2017 -
A Sprint Through What's New in Neural Networks
Publicado: 6/3/2017 -
Empirical Bayes
Publicado: 20/2/2017 -
Endogenous Variables and Measuring Protest Effectiveness
Publicado: 13/2/2017 -
Calibrated Models
Publicado: 6/2/2017 -
Ensemble Algorithms
Publicado: 23/1/2017
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.