Linear Digressions
Un pódcast de Ben Jaffe and Katie Malone
Categorías:
289 Episodo
-
Agile Development for Data Scientists, Part 1: The Good
Publicado: 19/8/2018 -
Re - Release: How To Lose At Kaggle
Publicado: 13/8/2018 -
Troubling Trends In Machine Learning Scholarship
Publicado: 6/8/2018 -
Can Fancy Running Shoes Cause You To Run Faster?
Publicado: 29/7/2018 -
Compliance Bias
Publicado: 22/7/2018 -
AI Winter
Publicado: 15/7/2018 -
Rerelease: How to Find New Things to Learn
Publicado: 8/7/2018 -
Rerelease: Space Codes
Publicado: 2/7/2018 -
Rerelease: Anscombe's Quartet
Publicado: 25/6/2018 -
Rerelease: Hurricanes Produced
Publicado: 18/6/2018 -
GDPR
Publicado: 11/6/2018 -
Git for Data Scientists
Publicado: 3/6/2018 -
Analytics Maturity
Publicado: 20/5/2018 -
SHAP: Shapley Values in Machine Learning
Publicado: 13/5/2018 -
Game Theory for Model Interpretability: Shapley Values
Publicado: 7/5/2018 -
AutoML
Publicado: 30/4/2018 -
CPUs, GPUs, TPUs: Hardware for Deep Learning
Publicado: 23/4/2018 -
A Technical Introduction to Capsule Networks
Publicado: 16/4/2018 -
A Conceptual Introduction to Capsule Networks
Publicado: 9/4/2018 -
Convolutional Neural Nets
Publicado: 2/4/2018
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.