Linear Digressions
Un podcast de Ben Jaffe and Katie Malone
Catégories:
289 Épisodes
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Chernoff Faces and Minard Maps
Publié: 18/01/2016 -
t-SNE: Reduce Your Dimensions, Keep Your Clusters
Publié: 15/01/2016 -
The [Expletive Deleted] Problem
Publié: 11/01/2016 -
Unlabeled Supervised Learning--whaaa?
Publié: 08/01/2016 -
Hacking Neural Nets
Publié: 05/01/2016 -
Zipf's Law
Publié: 31/12/2015 -
Indie Announcement
Publié: 30/12/2015 -
Portrait Beauty
Publié: 27/12/2015 -
The Cocktail Party Problem
Publié: 18/12/2015 -
A Criminally Short Introduction to Semi Supervised Learning
Publié: 04/12/2015 -
Thresholdout: Down with Overfitting
Publié: 27/11/2015 -
The State of Data Science
Publié: 10/11/2015 -
Data Science for Making the World a Better Place
Publié: 06/11/2015 -
Kalman Runners
Publié: 29/10/2015 -
Neural Net Inception
Publié: 23/10/2015 -
Benford's Law
Publié: 16/10/2015 -
Guinness
Publié: 07/10/2015 -
PFun with P Values
Publié: 02/09/2015 -
Watson
Publié: 25/08/2015 -
Bayesian Psychics
Publié: 18/08/2015
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.