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Event

Data Skeptic

2014-05-23 – 2025-11-23 Podcasts Visit website ↗

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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.

Filtering by: Su Wang ×

Top Topics

AI/ML 81 Data Science 39 NLP 18 Computer Science 15 GitHub 13 Big Data 9 Cloud Computing 9 Microsoft 9 Python 8 DataViz 6 Analytics 6 RNNs 4 API 4 Cyber Security 4 C#/.NET 4

Top Speakers

★ Kyle Polich 384 Linhda 14 Linh Da Tran 10 Linh Da 9 Linhda Tran 3 Peter Backus 3 Gordon Pennycook 2 Marco Tulio Ribeiro 2 Rohan Kumar 2 Su Wang 2 Wes McKinney 1 Christoph Molnar 1

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Interpretable One Shot Learning

2020-01-26 Listen
podcast_episode
Kyle Polich , Su Wang

We welcome Su Wang back to Data Skeptic to discuss the paper Distributional modeling on a diet: One-shot word learning from text only.

Authorship Attribution

2019-01-25 Listen
podcast_episode
Kyle Polich , Elisa Ferracane , Su Wang

In a recent paper, Leveraging Discourse Information Effectively for Authorship Attribution, authors Su Wang, Elisa Ferracane, and Raymond J. Mooney describe a deep learning methodology for predict which of a collection of authors was the author of a given document.