Linear Digressions
Ein Podcast von Ben Jaffe and Katie Malone
Kategorien:
289 Folgen
-
Agile Development for Data Scientists, Part 1: The Good
Vom: 19.8.2018 -
Re - Release: How To Lose At Kaggle
Vom: 13.8.2018 -
Troubling Trends In Machine Learning Scholarship
Vom: 6.8.2018 -
Can Fancy Running Shoes Cause You To Run Faster?
Vom: 29.7.2018 -
Compliance Bias
Vom: 22.7.2018 -
AI Winter
Vom: 15.7.2018 -
Rerelease: How to Find New Things to Learn
Vom: 8.7.2018 -
Rerelease: Space Codes
Vom: 2.7.2018 -
Rerelease: Anscombe's Quartet
Vom: 25.6.2018 -
Rerelease: Hurricanes Produced
Vom: 18.6.2018 -
GDPR
Vom: 11.6.2018 -
Git for Data Scientists
Vom: 3.6.2018 -
Analytics Maturity
Vom: 20.5.2018 -
SHAP: Shapley Values in Machine Learning
Vom: 13.5.2018 -
Game Theory for Model Interpretability: Shapley Values
Vom: 7.5.2018 -
AutoML
Vom: 30.4.2018 -
CPUs, GPUs, TPUs: Hardware for Deep Learning
Vom: 23.4.2018 -
A Technical Introduction to Capsule Networks
Vom: 16.4.2018 -
A Conceptual Introduction to Capsule Networks
Vom: 9.4.2018 -
Convolutional Neural Nets
Vom: 2.4.2018
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.