Linear Digressions
En podcast av Ben Jaffe and Katie Malone
Kategorier:
289 Avsnitt
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Anscombe's Quartet
Publicerades: 2017-06-19 -
Traffic Metering Algorithms
Publicerades: 2017-06-12 -
Page Rank
Publicerades: 2017-06-05 -
Fractional Dimensions
Publicerades: 2017-05-29 -
Things You Learn When Building Models for Big Data
Publicerades: 2017-05-22 -
How to Find New Things to Learn
Publicerades: 2017-05-15 -
Federated Learning
Publicerades: 2017-05-08 -
Word2Vec
Publicerades: 2017-05-01 -
Feature Processing for Text Analytics
Publicerades: 2017-04-24 -
Education Analytics
Publicerades: 2017-04-17 -
A Technical Deep Dive on Stanley, the First Self-Driving Car
Publicerades: 2017-04-10 -
An Introduction to Stanley, the First Self-Driving Car
Publicerades: 2017-04-03 -
Feature Importance
Publicerades: 2017-03-27 -
Space Codes!
Publicerades: 2017-03-20 -
Finding (and Studying) Wikipedia Trolls
Publicerades: 2017-03-13 -
A Sprint Through What's New in Neural Networks
Publicerades: 2017-03-06 -
Empirical Bayes
Publicerades: 2017-02-20 -
Endogenous Variables and Measuring Protest Effectiveness
Publicerades: 2017-02-13 -
Calibrated Models
Publicerades: 2017-02-06 -
Ensemble Algorithms
Publicerades: 2017-01-23
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.