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 299 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich
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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
 
 

Facebook Bargaining Bots Invented a Language


In 2017, Facebook published a paper called Deal or No Deal? End-to-End Learning for Negotiation Dialogues. In this research, the reinforcement learning agents developed a mechanism of communication (which could be called a language) that made...


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 2019-06-21  23m
 
 

Under Resourced Languages


Priyanka Biswas joins us in this episode to discuss natural language processing for languages that do not have as many resources as those that are more commonly studied such as English.  Successful NLP projects benefit from the availability of...


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 2019-06-16  16m
 
 

Named Entity Recognition


Kyle and Linh Da discuss the class of approaches called "Named Entity Recognition" or NER.  NER algorithms take any string as input and return a list of "entities" - specific facts and agents in the text along with a classification of the type...


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 2019-06-08  17m
 
 

The Death of a Language


USC students from the CAIS++ student organization have created a variety of novel projects under the mission statement of "artificial intelligence for social good". In this episode, Kyle interviews Zane and Leena about the Endangered...


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 2019-06-01  20m
 
 

Neural Turing Machines


Kyle and Linh Da discuss the concepts behind the neural Turing machine.


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 2019-05-25  25m