{"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 Spotify Uses Reinforcement Learning for Playlist Personalization","slug":"how-spotify-uses-reinforcement-learning-for-playlist-personalization","published_at":"2026-07-08T20:57:00+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/how-spotify-uses-reinforcement-learning-for-playlist-personalization","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-0098.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0098.mp3","summary":"In this episode, Lucas and Luna dive into how Spotify uses reinforcement learning to personalize playlists like Discover Weekly and Release Radar. They break down the multi-armed bandit problem, explore how Spotify balances exploration vs. exploitation to keep listeners engaged, and discuss the cold-start challenge for new users. Lucas explains why 'bandit' algorithms aren't one-size-fits-all and how Spotify uses contextual bandits to adapt recommendations in real time. Luna brings up a 2022 study showing a 30% increase in user retention after switching to a bandit-based approach. The hosts also touch on how reinforcement learning differs from traditional supervised learning and why it's ideal for dynamic user preferences. A practical, concrete look at how data science powers one of the most popular music streaming services. #ReinforcementLearning #Spotify #MultiArmedBandit #ContextualBandits #RecommendationSystems #MusicStreaming #ExploreExploit #Personalization #UserEngagement #MachineLearning #DataScience #Technology #Podcast #FexingoBusiness #BusinessPodcast #Fexingo #DataDriven #Algorithm Keep every episode free: buymeacoffee.com/fexingo","meta_description":"In this episode, Lucas and Luna dive into how Spotify uses reinforcement learning to personalize playlists like Discover Weekly and Release Radar. They br…","key_points":[],"chapters":[],"topics":[],"duration_seconds":707,"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-spotify-uses-reinforcement-learning-for-playlist-personalization/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-spotify-uses-reinforcement-learning-for-playlist-personalization.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}