{"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 Synthetic Data for Model Training","slug":"how-data-scientists-use-synthetic-data-for-model-training","published_at":"2026-06-18T08:15:43+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-synthetic-data-for-model-training","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-0058.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0058.mp3","summary":"Episode 58 of The Data Science Podcast explores how data scientists are turning to synthetic data when real-world data is scarce, expensive, or privacy-sensitive. Lucas and Luna break down a concrete case: how a European insurance company used the Synthpop library in R to generate synthetic claims data, training a fraud detection model that outperformed their original one. They discuss the core techniques—generative models like GANs and VAEs, as well as statistical synthetization methods—and the trade-offs around fidelity, privacy, and bias. The episode also covers the rise of synthetic data platforms like Mostly AI and Gretel.ai, and why synthetic data is becoming a standard tool for teams that need to augment small datasets or test edge cases without exposing real user information. No hype, just what works and what doesn't. #SyntheticData #MachineLearning #DataScience #GANs #VAEs #Synthpop #MostlyAI #GretelAI #FraudDetection #InsuranceAnalytics #PrivacyPreservingML #DataAugmentation #GenerativeModels #SyntheticDataPlatforms #Technology #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 58 of The Data Science Podcast explores how data scientists are turning to synthetic data when real-world data is scarce, expensive, or privacy-se…","key_points":[],"chapters":[],"topics":[],"duration_seconds":619,"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-synthetic-data-for-model-training/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-synthetic-data-for-model-training.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}