{"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 for Recommendation Systems","slug":"how-data-scientists-use-knowledge-graphs-for-recommendation-systems","published_at":"2026-07-16T08:39:27+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-for-recommendation-systems","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-0113.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0113.mp3","summary":"On this episode of The Data Science Podcast, Lucas and Luna explore how knowledge graphs are transforming recommendation systems beyond traditional collaborative filtering. They dive into a real-world case from a major e-commerce platform that improved cross-category discovery by 22 percent using graph-based embeddings. The conversation covers the trade-offs between graph neural networks and embedding-based methods, the challenge of cold-start items, and why encoding user intent as relational paths matters more than ever. If you've ever wondered why your streaming service suggests a documentary about fungi after you watched a true crime series, this episode explains the graph structure behind that leap. #KnowledgeGraphs #RecommendationSystems #GraphNeuralNetworks #Embeddings #AI #MachineLearning #DataScience #Ecommerce #ColdStart #UserIntent #GraphBasedML #Technology #FexingoBusiness #BusinessPodcast #DataSciencePodcast #GraphAlgorithms #Personalization #GraphEmbeddings Keep every episode free: buymeacoffee.com/fexingo","meta_description":"On this episode of The Data Science Podcast, Lucas and Luna explore how knowledge graphs are transforming recommendation systems beyond traditional collab…","key_points":[],"chapters":[],"topics":[],"duration_seconds":498,"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-for-recommendation-systems/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-for-recommendation-systems.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}