{"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":"Data Scientists Are Using Graph Neural Networks for Fraud Detection","slug":"data-scientists-are-using-graph-neural-networks-for-fraud-detection","published_at":"2026-06-12T10:53:56+00:00","page_url":"https://stenobird.com/podcast/the-data-science-podcast-with-fexingo-analytics-machine-learning-and-data-driven-conversations-7871831/data-scientists-are-using-graph-neural-networks-for-fraud-detection","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-0046.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0046.mp3","summary":"Episode 46 of The Data Science Podcast with Fexingo explores how graph neural networks (GNNs) are transforming fraud detection in financial services. Lucas and Luna break down a real case: how a major European bank used GNNs to catch a money-laundering ring that rule-based systems missed. They discuss why traditional fraud models fail with relational data, how GNNs represent transactions as a graph of accounts and connections, and what it means for data scientists building production pipelines. Topics include message-passing layers, inductive vs transductive learning, and the challenge of class imbalance in fraud datasets. The hosts also touch on explainability trade-offs and whether GNNs are ready for real-time scoring. If you're a data scientist curious about graph-based machine learning beyond social network recommendations, this episode gives you a concrete, business-driven example to learn from. #GraphNeuralNetworks #FraudDetection #MachineLearning #DataScience #FinancialServices #AntiMoneyLaundering #GNN #GraphML #MessagePassing #InductiveLearning #ClassImbalance #Explainability #ProductionML #Technology #DataSciencePodcast #FexingoBusiness #BusinessPodcast #ModelDeployment Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 46 of The Data Science Podcast with Fexingo explores how graph neural networks (GNNs) are transforming fraud detection in financial services. Luca…","key_points":[],"chapters":[],"topics":[],"duration_seconds":505,"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/data-scientists-are-using-graph-neural-networks-for-fraud-detection/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/data-scientists-are-using-graph-neural-networks-for-fraud-detection.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}