{"podcast":{"title":"The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations","slug":"the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","podcast_index_feed_id":7871831,"rss_url":"https://feeds.fexingo.com/business/the-data-science-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-data-science-podcast/cover.png","author":"Fexingo","episode_count":118,"summary":"Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a gi…","last_synced_at":"2026-07-19T08:17:23.323447+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831"},"episode":{"title":"How Data Scientists Use Bayesian A-B Testing for Smarter Decisions","slug":"how-data-scientists-use-bayesian-a-b-testing-for-smarter-decisions","published_at":"2026-07-17T08:38:54+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-bayesian-a-b-testing-for-smarter-decisions","show_page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831","url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0115.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0115.mp3","summary":"Episode 115 of The Data Science Podcast with Fexingo dives into Bayesian A/B testing and why it's replacing traditional frequentist approaches in industry. Lucas explains how a simple probability framework gives data scientists a more intuitive answer: 'there's a 95% chance variant B outperforms A by at least 2%,' instead of a confusing p-value. The episode walks through a concrete example from an e-commerce checkout flow, showing how prior distributions, likelihood updates, and posterior sampling work in practice. Luna pushes back on the subjectivity of priors, and Lucas shares how Netflix and Spotify use Bayesian methods for multi-armed bandit problems. They also discuss the 'peeking problem'—why frequentist tests break when you check results early, and how Bayesian methods handle it gracefully. A quick, grounded introduction for anyone who has run an A/B test and wondered if there's a better way. #BayesianABTesting #DataScience #ABTesting #BayesianStatistics #PriorDistribution #PosteriorDistribution #MultiArmedBandit #Ecommerce #Netflix #Spotify #MachineLearning #Statistics #DataDriven #PeekingProblem #Probability #FrequentistVsBayesian #FexingoBusiness #Technology Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 115 of The Data Science Podcast with Fexingo dives into Bayesian A/B testing and why it's replacing traditional frequentist approaches in industry…","key_points":[],"chapters":[],"topics":[],"duration_seconds":548,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/episodes/how-data-scientists-use-bayesian-a-b-testing-for-smarter-decisions/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-data-scientists-use-bayesian-a-b-testing-for-smarter-decisions.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}