{"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 Causal Inference for Business Decisions","slug":"how-data-scientists-use-causal-inference-for-business-decisions","published_at":"2026-07-15T20:50:36+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-causal-inference-for-business-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-0112.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0112.mp3","summary":"Causal inference is transforming how companies move from correlation to causation. In this episode, Lucas and Luna unpack a concrete example: how a major retailer used double machine learning to determine whether their loyalty program actually drove repeat purchases, or if members were just higher-spending customers to begin with. They walk through the core idea of conditional average treatment effects (CATE), why randomized A/B tests aren't always feasible, and how methods like causal forests and instrumental variables help data scientists answer 'what would have happened?' The hosts also discuss the pitfalls of relying on observational data and how modern tooling (DoWhy, EconML) makes causal analysis more accessible. By the end, you'll understand why causality is the next frontier for data-driven decision-making, and how one simple question—'Did X cause Y?'—can save companies millions. #CausalInference #DataScience #MachineLearning #CausalML #DoubleML #CausalForests #InstrumentalVariables #DoWhy #EconML #TreatmentEffects #ObservationalData #LoyaltyPrograms #RetailAnalytics #BusinessDecisions #Technology #FexingoBusiness #BusinessPodcast #TheDataSciencePodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Causal inference is transforming how companies move from correlation to causation. In this episode, Lucas and Luna unpack a concrete example: how a major…","key_points":[],"chapters":[],"topics":[],"duration_seconds":544,"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-causal-inference-for-business-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-causal-inference-for-business-decisions.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}