Data Skeptic is a podcast hosted by Kyle Polich on data science, statistics, machine learning and artificial intelligence. It publishes about every two weeks (7 episodes in the last 90 days, as of October 2026), and episodes usually run about 35 minutes.
The feed describes interviews and discussion that apply critical thinking and the scientific method to evaluate the veracity of claims and the efficacy of approaches. That skeptical angle is the show's stated identity.
Recent episodes show a mix of topics: recommender systems ("Recommender Systems Today and Tomorrow" and "Recommender Systems Optimization Goals"), gesture interaction ("Gestures Around the Ear"), "Implicit Interactions" and "The Lived Informatics Model". On YouTube, the most-viewed videos are explainers on specific methods such as N-Beats, change point detection and MiniRocket.
Our take: Data Skeptic fits listeners who want to learn how specific algorithms and statistical ideas work, in half-hour episodes. The YouTube list below leans on time series methods. See our best data science podcasts list.
Ranked by YouTube views among the channel's latest 400 uploads, as of October 2026.
The five latest episodes in the feed run from about 23 to 45 minutes, so the show suits a single sitting. The feed lists 611 episodes going back to 2014, which makes it easy to search for a specific method or topic.
Built This Week is our show, with Jordan Metzner and Sam Nadler: the hosts build something with AI on air every week, test new AI tools, interview a founder or operator and cover AI news. Data Skeptic teaches methods in depth; ours is an applied, build-first show. For more picks, see best data science podcasts and best machine learning podcasts or the full list of best podcasts.
Show details on this page come from the public listings and feeds below, checked on October 24, 2026.
Data Skeptic is hosted by Kyle Polich.
About every two weeks. The feed shows 7 episodes in the last 90 days, as of October 2026.
Episodes usually run about 35 minutes.
By YouTube views, the top videos are "N-Beats" (3.8K views as of October 2026) and "Change Point Detection Algorithms" (3.5K views).
The TWIML AI Podcast, Super Data Science, Gradient Dissent and Practical AI also cover data science and machine learning.
