{"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 Knowledge Graphs to Connect Disparate Data","slug":"how-data-scientists-use-knowledge-graphs-to-connect-disparate-data","published_at":"2026-06-16T20:16:10+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-knowledge-graphs-to-connect-disparate-data","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-0055.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0055.mp3","summary":"Episode 55 of The Data Science Podcast with Fexingo explores knowledge graphs — a technique that links siloed data sources into a unified, queryable structure. Lucas and Luna walk through the basics of how knowledge graphs represent entities and relationships, then dive into a concrete example: how a hospital chain used a knowledge graph to combine electronic health records, lab results, and social determinants of health to reduce hospital readmission rates by 18 percent over two quarters. They discuss construction challenges, trade-offs versus traditional relational databases, and the growing role of graph databases like Neo4j and Amazon Neptune. The hosts also touch on how companies like Google and LinkedIn have used knowledge graphs to power search and recommendation. No abstractions — just a clear, case-driven walkthrough of a technique that is becoming essential for data teams dealing with messy, interconnected data. #KnowledgeGraphs #GraphDatabases #Neo4j #AmazonNeptune #DataIntegration #HealthcareData #HospitalReadmissions #LinkedData #EntityResolution #GraphQueryLanguages #Cypher #SPARQL #DataSilos #MachineLearning #FeatureEngineering #Technology #DataSciencePodcast #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 55 of The Data Science Podcast with Fexingo explores knowledge graphs — a technique that links siloed data sources into a unified, queryable struc…","key_points":[],"chapters":[],"topics":[],"duration_seconds":494,"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-knowledge-graphs-to-connect-disparate-data/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-knowledge-graphs-to-connect-disparate-data.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}