Linear Digressions
Un podcast de Ben Jaffe and Katie Malone
Catégories:
289 Épisodes
-
Agile Development for Data Scientists, Part 1: The Good
Publié: 19/08/2018 -
Re - Release: How To Lose At Kaggle
Publié: 13/08/2018 -
Troubling Trends In Machine Learning Scholarship
Publié: 06/08/2018 -
Can Fancy Running Shoes Cause You To Run Faster?
Publié: 29/07/2018 -
Compliance Bias
Publié: 22/07/2018 -
AI Winter
Publié: 15/07/2018 -
Rerelease: How to Find New Things to Learn
Publié: 08/07/2018 -
Rerelease: Space Codes
Publié: 02/07/2018 -
Rerelease: Anscombe's Quartet
Publié: 25/06/2018 -
Rerelease: Hurricanes Produced
Publié: 18/06/2018 -
GDPR
Publié: 11/06/2018 -
Git for Data Scientists
Publié: 03/06/2018 -
Analytics Maturity
Publié: 20/05/2018 -
SHAP: Shapley Values in Machine Learning
Publié: 13/05/2018 -
Game Theory for Model Interpretability: Shapley Values
Publié: 07/05/2018 -
AutoML
Publié: 30/04/2018 -
CPUs, GPUs, TPUs: Hardware for Deep Learning
Publié: 23/04/2018 -
A Technical Introduction to Capsule Networks
Publié: 16/04/2018 -
A Conceptual Introduction to Capsule Networks
Publié: 09/04/2018 -
Convolutional Neural Nets
Publié: 02/04/2018
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.