Algorithmic Fairness
This episode includes an interview with Aaron Roth author of The Ethical Algorithm.
14 Tammi 202042min
Interpretability
Interpretability Machine learning has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how mod...
7 Tammi 202032min
NLP in 2019
A year in recap.
31 Joulu 201938min
The Limits of NLP
We are joined by Colin Raffel to discuss the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer".
24 Joulu 201929min
Jumpstart Your ML Project
Seth Juarez joins us to discuss the toolbox of options available to a data scientist to jumpstart or extend their machine learning efforts.
15 Joulu 201920min
Serverless NLP Model Training
Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussi...
10 Joulu 201929min
Team Data Science Process
Buck Woody joins Kyle to share experiences from the field and the application of the Team Data Science Process - a popular six-phase workflow for doing data science.
3 Joulu 201941min
Ancient Text Restoration
Thea Sommerschield joins us this week to discuss the development of Pythia - a machine learning model trained to assist in the reconstruction of ancient language text.
1 Joulu 201941min
