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Data Skeptic

Kyle Polich

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.
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Top 10 Data Skeptic Episodes

Best episodes ranked by Goodpods Users most listened

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05/11/19 • 23 min

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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05/11/19 • 23 min

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10/23/23 • 28 min

Today, we are joined by Rajiv Movva, a PhD student in Computer Science at Cornell Tech University. His research interest lies in the intersection of responsible AI and computational social science. He joins to discuss the findings of this work that analyzed LLM publication patterns.

He shared the dataset he used for the survey. He also discussed the conditions for determining the papers to analyze. Rajiv shared some of the trends he observed from his analysis. For one, he observed there has been an increase in LLMs research. He also shared the proportions of papers published by universities, organizations, and industry leaders in LLMs such as OpenAI and Google. He mentioned the majority of the papers are centered on the social impact of LLMs. He also discussed other exciting application of LLMs such as in education.

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10/23/23 • 28 min

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Plastic Bag Bans

Data Skeptic

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04/24/20 • 34 min

Becca Taylor joins us to discuss her work studying the impact of plastic bag bans as published in Bag Leakage: The Effect of Disposable Carryout Bag Regulations on Unregulated Bags from the Journal of Environmental Economics and Management. How does one measure the impact of these bans? Are they achieving their intended goals? Join us and find out!

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04/24/20 • 34 min

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04/10/20 • 26 min

Computer Vision is not Perfect

Julia Evans joins us help answer the question why do neural networks think a panda is a vulture. Kyle talks to Julia about her hands-on work fooling neural networks.

Julia runs Wizard Zines which publishes works such as Your Linux Toolbox. You can find her on Twitter @b0rk

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04/10/20 • 26 min

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04/04/20 • 39 min

Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica’s work on visualizing uncertainty, interviewing visualization designers on why they don't visualize uncertainty, and modeling interactions with visualizations as Bayesian updates.

Homepage: http://users.eecs.northwestern.edu/~jhullman/

Lab: MU Collective

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04/04/20 • 39 min

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Announcing Journal Club

I am pleased to announce Data Skeptic is launching a new spin-off show called "Journal Club" with similar themes but a very different format to the Data Skeptic everyone is used to.

In Journal Club, we will have a regular panel and occasional guest panelists to discuss interesting news items and one featured journal article every week in a roundtable discussion. Each week, I'll be joined by Lan Guo and George Kemp for a discussion of interesting data science related news articles and a featured journal or pre-print article.

We hope that this podcast will give listeners an introduction to the works we cover and how people discuss these works. Our topics will often coincide with the original Data Skeptic podcast's current Interpretability theme, but we have few rules right now or what we pick. We enjoy discussing these items with each other and we hope you will do.

In the coming weeks, we will start opening up the guest chair more often to bring new voices to our discussion. After that we'll be looking for ways we can engage with our audience.

Keep reading and thanks for listening!

Kyle

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03/28/20 • 33 min

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03/13/20 • 42 min

Pramit Choudhary joins us to talk about the methodologies and tools used to assist with model interpretability.

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03/13/20 • 42 min

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03/20/20 • 32 min

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03/20/20 • 32 min

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Shapley Values

Data Skeptic

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03/06/20 • 20 min

Kyle and Linhda discuss how Shapley Values might be a good tool for determining what makes the cut for a home renovation.

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03/06/20 • 20 min

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FAQ

How many episodes does Data Skeptic have?

Data Skeptic currently has 510 episodes available.

What topics does Data Skeptic cover?

The podcast is about Mathematics, Podcasts, Technology and Science.

What is the most popular episode on Data Skeptic?

The episode title 'NCAA Predictions on Spark' is the most popular.

What is the average episode length on Data Skeptic?

The average episode length on Data Skeptic is 30 minutes.

How often are episodes of Data Skeptic released?

Episodes of Data Skeptic are typically released every 7 days.

When was the first episode of Data Skeptic?

The first episode of Data Skeptic was released on May 23, 2014.

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