{"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 Are Using Anomaly Detection in Real Time","slug":"how-data-scientists-are-using-anomaly-detection-in-real-time","published_at":"2026-06-19T08:00:11+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-are-using-anomaly-detection-in-real-time","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-0060.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0060.mp3","summary":"Anomaly detection is one of the most practical applications of data science in industry today. In episode 60 of The Data Science Podcast, Lucas and Luna dive into how modern data scientists build real-time anomaly detection systems that catch fraud, equipment failures, and network intrusions before they escalate. They walk through a concrete example: a mid-sized e-commerce company that reduced chargeback fraud by 37% using an isolation forest model on streaming transaction data. They discuss trade-offs between sensitivity and false positives, the role of feature engineering in time-series data, and why 'weird' isn't always bad. Along the way, they touch on how tools like Apache Kafka and streaming analytics platforms have made real-time detection accessible beyond big tech. If you've ever wondered how data scientists spot the needle in the haystack — without drowning in alerts — this episode will give you both the mental model and the practical gotchas. #AnomalyDetection #RealTimeAnalytics #IsolationForest #FraudDetection #DataScience #MachineLearning #StreamingData #ApacheKafka #FeatureEngineering #TimeSeries #FalsePositives #Ecommerce #Technology #DataDriven #FexingoBusiness #BusinessPodcast #DataSciencePodcast #ModelDeployment Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Anomaly detection is one of the most practical applications of data science in industry today. In episode 60 of The Data Science Podcast, Lucas and Luna d…","key_points":[],"chapters":[],"topics":[],"duration_seconds":546,"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-are-using-anomaly-detection-in-real-time/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-are-using-anomaly-detection-in-real-time.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}