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 285 Folge(n) erschienen. Jede Woche gibt es eine neue Folge dieses Podcasts
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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
 
 

Data Infrastructure in the Cloud


Kyle chats with Rohan Kumar about hyperscale, data at the edge, and a variety of other trends in data engineering in the cloud.


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 2019-05-18  30m
 
 

NCAA Predictions on Spark


In this episode, Kyle interviews Laura Edell at MS Build 2019.  The conversation covers a number of topics, notably her NCAA Final 4 prediction model.  


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 2019-05-11  23m
 
 

The Transformer


Kyle and Linhda discuss attention and the transformer - an encoder/decoder architecture that extends the basic ideas of vector embeddings like word2vec into a more contextual use case.


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 2019-05-03  15m
 
 

Mapping Dialects with Twitter Data


When users on Twitter post with geographic tags, it creates the opportunity for a variety of interesting questions to be posed having to do with language, dialects, and location.  In this episode, Kyle interviews Bruno Gonçalves about his...


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 2019-04-26  25m