{"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 Multimodal Models for Zero-Shot Learning","slug":"how-data-scientists-use-multimodal-models-for-zero-shot-learning","published_at":"2026-07-07T21:00:43+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-multimodal-models-for-zero-shot-learning","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-0096.mp3","audio_url":"https://audio.fexingo.com/business/the-data-science-podcast/episode-0096.mp3","summary":"In this episode, Lucas and Luna dive into multimodal zero-shot learning, the technique that lets AI models like CLIP recognize objects, scenes, and text across images without ever being explicitly trained on those combinations. They explore a concrete use case: a retail startup using a pretrained multimodal embedding model to automatically tag 10,000 new product photos per day with zero labeling cost. Lucas breaks down the architecture—contrastive learning on image-text pairs—and explains why zero-shot works when the embedding space is aligned. Luna asks about failure modes: ambiguous images, domain shift, adversarial inputs. They also touch on the trade-off between generality and fine-tuning, and where the field is heading next. No hype, just how the math makes it possible. #MultimodalLearning #ZeroShotLearning #CLIP #ContrastiveLearning #DataScience #MachineLearning #ImageRecognition #NaturalLanguageProcessing #Embeddings #AI #RetailTech #ProductTagging #TransferLearning #DeepLearning #ComputerVision #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"In this episode, Lucas and Luna dive into multimodal zero-shot learning, the technique that lets AI models like CLIP recognize objects, scenes, and text a…","key_points":[],"chapters":[],"topics":[],"duration_seconds":704,"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-multimodal-models-for-zero-shot-learning/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-multimodal-models-for-zero-shot-learning.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}