{"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 Federated Learning to Protect Privacy","slug":"how-data-scientists-use-federated-learning-to-protect-privacy","published_at":"2026-06-15T20:34:23+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-federated-learning-to-protect-privacy","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-0053.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0053.mp3","summary":"Episode 53 of The Data Science Podcast dives into federated learning — a technique that trains machine learning models across decentralized data without ever moving sensitive information to a central server. Lucas and Luna break down how Google used it to improve keyboard predictions on Gboard without seeing what you type, and how Apple applies it to Siri without uploading your voice. They discuss the key trade-off: better privacy versus slightly worse model accuracy, and why an open-source framework like TensorFlow Federated is making the approach accessible. They also explore real-world adoption — from hospitals training diagnostic models without sharing patient records to banks detecting fraud across institutions without exposing transaction histories. By the end, you will understand why the phrase 'bring the model to the data, not the data to the model' is reshaping privacy in machine learning. #FederatedLearning #PrivacyPreservingML #DataScience #MachineLearning #Google #Apple #Gboard #Siri #TensorFlowFederated #HealthcareAI #FederatedAveraging #OnDeviceAI #DifferentialPrivacy #SecureAggregation #Technology #FexingoBusiness #BusinessPodcast #Podcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 53 of The Data Science Podcast dives into federated learning — a technique that trains machine learning models across decentralized data without e…","key_points":[],"chapters":[],"topics":[],"duration_seconds":493,"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-federated-learning-to-protect-privacy/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-federated-learning-to-protect-privacy.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}