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.

https://dataskeptic.com

Eine durchschnittliche Folge dieses Podcasts dauert 25m. Bisher sind 294 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast
subscribe
share



 

recommended podcasts


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.


share





   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.  


share





   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.


share





   41m
 
 

ML Ops


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


share





   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...


share





   25m
 
 

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...


share





   26m
 
 

NLP for Developers


While at MS Build 2019, Kyle sat down with Lance Olson from the Applied AI team about how tools like cognitive services and cognitive search enable non-data scientists to access relatively advanced NLP tools out of box, and how more advanced data...


share





   29m
 
 

Indigenous American Language Research


Manuel Mager joins us to discuss natural language processing for low and under-resourced languages.  We discuss current work in this area and the Naki Project which aggregates research on NLP for native and indigenous languages of the American...


share





   22m
 
 

Talking to GPT-2


GPT-2 is yet another in a succession of models like ELMo and BERT which adopt a similar deep learning architecture and train an unsupervised model on a massive text corpus. As we have been covering recently, these approaches are showing tremendous...


share





 2019-10-31  29m
 
 

Reproducing Deep Learning Models


Rajiv Shah attempted to reproduce an earthquake-predicting deep learning model.  His results exposed some issues with the model.  Kyle and Rajiv discuss the original paper and Rajiv's analysis.


share





 2019-10-23  22m