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 24m. Bisher sind 284 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich
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What BERT is Not


Allyson Ettinger joins us to discuss her work in computational linguistics, specifically in exploring some of the ways in which the popular natural language processing approach BERT has limitations.


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   27m
 
 

SpanBERT


Omer Levy joins us to discuss "SpanBERT: Improving Pre-training by Representing and Predicting Spans". https://arxiv.org/abs/1907.10529


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   24m
 
 

BERT is Shallow


Tim Nivens joins us this week to discuss his work exploring the limits of what BERT can do on certain natural language tasks such as adversarial attacks, compositional learning, and systematic learning.


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   20m
 
 

Bert is Magic


Kyle pontificates on how impressed he is with BERT.


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 2019-09-16  18m
 
 

Applied Data Science in Industry


Kyle sits down with Jen Stirrup to inquire about her experiences helping companies deploy data science solutions in a variety of different settings.


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 2019-09-06  21m
 
 

Building the howto100m Video Corpus


Video annotation is an expensive and time-consuming process. As a consequence, the available video datasets are useful but small. The availability of machine transcribed explainer videos offers a unique opportunity to rapidly develop a useful, if...


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 2019-08-19  22m
 
 

BERT


Kyle provides a non-technical overview of why Bidirectional Encoder Representations from Transformers (BERT) is a powerful tool for natural language processing projects.


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 2019-07-29  13m
 
 

Onyx


Kyle interviews Prasanth Pulavarthi about the Onyx format for deep neural networks.


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 2019-07-22  20m
 
 

Catastrophic Forgetting


Kyle and Linhda discuss some high level theory of mind and overview the concept machine learning concept of catastrophic forgetting.


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 2019-07-15  21m
 
 

Transfer Learning


Sebastian Ruder is a research scientist at DeepMind.  In this episode, he joins us to discuss the state of the art in transfer learning and his contributions to it.


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 2019-07-08  29m