{"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 Shapley Values to Explain Model Predictions","slug":"how-data-scientists-use-shapley-values-to-explain-model-predictions","published_at":"2026-06-11T08:17:35+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-shapley-values-to-explain-model-predictions","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-0044.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0044.mp3","summary":"Episode 44 of The Data Science Podcast with Fexingo dives into Shapley Values, a game-theory approach to explaining individual model predictions. Lucas and Luna break down how this method works, why it's more principled than feature importance rankings, and where it falls short in practice. They walk through a concrete example from credit scoring, explaining how a single applicant's denial can be attributed to specific factors like income, age, or zip code — and why that transparency matters under regulations like the EU AI Act. The conversation also touches on computational cost, alternative methods like LIME, and what data scientists should watch out for when deploying explanations at scale. #ShapleyValues #XAI #ModelInterpretability #DataScience #MachineLearning #CreditScoring #EUAIAct #FeatureImportance #LIME #GameTheory #ExplainableAI #AIEthics #ModelFairness #BiasDetection #DataSciencePodcast #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 44 of The Data Science Podcast with Fexingo dives into Shapley Values, a game-theory approach to explaining individual model predictions. Lucas an…","key_points":[],"chapters":[],"topics":[],"duration_seconds":637,"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-shapley-values-to-explain-model-predictions/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-shapley-values-to-explain-model-predictions.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}