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 279 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast
subscribe
share



 

recommended podcasts


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...


share





   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.


share





   13m
 
 

Onyx


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


share





 22 July 2019  20m
 
 

Catastrophic Forgetting


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


share





 15 July 2019  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.


share





 08 July 2019  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...


share





 21 June 2019  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...


share





 16 June 2019  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...


share





 08 June 2019  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...


share





 01 June 2019  20m
 
 

Neural Turing Machines


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


share





 25 May 2019  25m