Linear Digressions
En podkast av Ben Jaffe and Katie Malone
Kategorier:
289 Episoder
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Chernoff Faces and Minard Maps
Publisert: 18.1.2016 -
t-SNE: Reduce Your Dimensions, Keep Your Clusters
Publisert: 15.1.2016 -
The [Expletive Deleted] Problem
Publisert: 11.1.2016 -
Unlabeled Supervised Learning--whaaa?
Publisert: 8.1.2016 -
Hacking Neural Nets
Publisert: 5.1.2016 -
Zipf's Law
Publisert: 31.12.2015 -
Indie Announcement
Publisert: 30.12.2015 -
Portrait Beauty
Publisert: 27.12.2015 -
The Cocktail Party Problem
Publisert: 18.12.2015 -
A Criminally Short Introduction to Semi Supervised Learning
Publisert: 4.12.2015 -
Thresholdout: Down with Overfitting
Publisert: 27.11.2015 -
The State of Data Science
Publisert: 10.11.2015 -
Data Science for Making the World a Better Place
Publisert: 6.11.2015 -
Kalman Runners
Publisert: 29.10.2015 -
Neural Net Inception
Publisert: 23.10.2015 -
Benford's Law
Publisert: 16.10.2015 -
Guinness
Publisert: 7.10.2015 -
PFun with P Values
Publisert: 2.9.2015 -
Watson
Publisert: 25.8.2015 -
Bayesian Psychics
Publisert: 18.8.2015
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
