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Data Skeptic

A podcast about data science, machine learning, artificial intelligence, and statistics, hosted by Kyle Polich. Episodes are long-form interviews with researchers and practitioners, published since 2014.

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# Data Skeptic

> A podcast about data science, machine learning, artificial intelligence, and statistics, hosted by Kyle Polich. Episodes are long-form interviews with researchers and practitioners, published since 2014.

Full episode transcripts are published on each episode page. 526 episodes across 15 themed seasons.

## Seasons

- [Artificial Intelligence](https://dataskeptic.com/podcast/artificial-intelligence): AI is reshaping every industry, but what exactly is it — and what isn’t it? These episodes aim to define artificial intelligence in a rapidly evolving…
- [Physically Distributed](https://dataskeptic.com/podcast/physically-distributed): When systems and people are geographically separated, coordination becomes a technical and social challenge. This season investigates how distributed work and…
- [Animal Intelligence](https://dataskeptic.com/podcast/animal-intelligence): How smart are animals — and how do we know? With a special co-host joining the show, this season explores cognition across the animal kingdom. Featuring…
- [Time Series](https://dataskeptic.com/podcast/time-series): Understanding how data evolves over time is key to everything from forecasting demand to interpreting social trends. This season breaks down the structure and…
- [Human-Computer Interaction](https://dataskeptic.com/podcast/human-computer-interaction): Human-computer interaction is the study of how people interact with technology. From interfaces to intent prediction, and from dark patterns to delightful…
- [Recommender Systems](https://dataskeptic.com/podcast/recommender-systems): The're not just for eCommerce. Recommender systems have infiltrated our video watching, travel planning, social media feeds, and other daily activities. This…
- [All About Surveys](https://dataskeptic.com/podcast/all-about-surveys): Surveys might seem simple, but good data collection requires nuance, rigor, and constant vigilance. This season digs into the science behind asking questions…
- [Graphs and Networks](https://dataskeptic.com/podcast/graphs-and-networks): Connections matter — in social media, biology, transportation, and beyond. This season maps out the study of graphs and networks, explaining core concepts…
- [Consensus](https://dataskeptic.com/podcast/consensus): What does it mean to agree? This season explores how consensus is formed, whether among people or machines. Episodes dive into distributed systems protocols…
- [Machine Intelligence](https://dataskeptic.com/podcast/machine-intelligence): What makes machines intelligent — and how close are we to achieving it? Through interviews and explainers, this season probes the current state of AI…
- [Ad-tech](https://dataskeptic.com/podcast/ad-tech): Online ads don’t just appear — they’re chosen through rapid-fire auctions, behavioral tracking, and complex optimization algorithms. These episodes reveal the…
- [Fake News](https://dataskeptic.com/podcast/fake-news): Misinformation isn't new, but the modern web has given it
…

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