Linear Digressions
A podcast by Ben Jaffe and Katie Malone
Categories:
289 Episoade
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Agile Development for Data Scientists, Part 1: The Good
Publicat: 19.08.2018 -
Re - Release: How To Lose At Kaggle
Publicat: 13.08.2018 -
Troubling Trends In Machine Learning Scholarship
Publicat: 06.08.2018 -
Can Fancy Running Shoes Cause You To Run Faster?
Publicat: 29.07.2018 -
Compliance Bias
Publicat: 22.07.2018 -
AI Winter
Publicat: 15.07.2018 -
Rerelease: How to Find New Things to Learn
Publicat: 08.07.2018 -
Rerelease: Space Codes
Publicat: 02.07.2018 -
Rerelease: Anscombe's Quartet
Publicat: 25.06.2018 -
Rerelease: Hurricanes Produced
Publicat: 18.06.2018 -
GDPR
Publicat: 11.06.2018 -
Git for Data Scientists
Publicat: 03.06.2018 -
Analytics Maturity
Publicat: 20.05.2018 -
SHAP: Shapley Values in Machine Learning
Publicat: 13.05.2018 -
Game Theory for Model Interpretability: Shapley Values
Publicat: 07.05.2018 -
AutoML
Publicat: 30.04.2018 -
CPUs, GPUs, TPUs: Hardware for Deep Learning
Publicat: 23.04.2018 -
A Technical Introduction to Capsule Networks
Publicat: 16.04.2018 -
A Conceptual Introduction to Capsule Networks
Publicat: 09.04.2018 -
Convolutional Neural Nets
Publicat: 02.04.2018
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.