Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

Eine durchschnittliche Folge dieses Podcasts dauert 25m. Bisher sind 299 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast

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Algorithmic Fairness

This episode includes an interview with Aaron Roth author of .




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 models actually work are becoming increasingly...



NLP in 2019

A year in recap.



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".



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.


 2019-12-15  20m

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 discussion of some of the design choices made.


 2019-12-10  29m

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.  


 2019-12-03  41m

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.


 2019-12-01  41m

ML Ops

Kyle met up with Damian Brady at MS Ignite 2019 to discuss machine learning operations.


 2019-11-27  36m

Annotator Bias

The modern deep learning approaches to natural language processing are voracious in their demands for large corpora to train on.  Folk wisdom estimates used to be around 100k documents were required for effective training.  The availability...


 2019-11-23  25m