2015 Holiday Special
Data Skeptic25 Dec 2015

2015 Holiday Special

Today's episode is a reading of Isaac Asimov's The Machine that Won the War. I can't think of a story that's more appropriate for Data Skeptic.

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Neural Turing Machines

Neural Turing Machines

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

25 Maj 201925min

Data Infrastructure in the Cloud

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.

18 Maj 201930min

NCAA Predictions on Spark

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.

11 Maj 201923min

The Transformer

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.

3 Maj 201915min

Mapping Dialects with Twitter Data

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 work studying language in this way.

26 Apr 201925min

Sentiment Analysis

Sentiment Analysis

This is an interview with Ellen Loeshelle, Director of Product Management at Clarabridge.  We primarily discuss sentiment analysis.

20 Apr 201927min

Attention Primer

Attention Primer

A gentle introduction to the very high-level idea of "attention" in machine learning, as it will play a major role in some upcoming episodes over the next few weeks.

13 Apr 201914min

Cross-lingual Short-text Matching

Cross-lingual Short-text Matching

Modern messaging technology has facilitated a trend towards highly compact, short messages send by users who can presume a great amount of context held between the communicating parties.  The rules of grammar may be discarded and often visible errors are a normal part of the conversation. >>> Good mornink >>> morning Yet such short messages are also important for businesses whose users are unlikely to read a large block of text upon completing an order.  Similarly, a business might want to offer assistance and effective question and answering solutions in an automated and ideally multi-lingual way.  In this episode, we discuss techniques for designing solutions like that.

5 Apr 201924min

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