{"podcast":{"title":"Adventures in Machine Learning","slug":"adventures-in-machine-learning","podcast_index_feed_id":2981332,"rss_url":"https://www.spreaker.com/show/6102041/episodes/feed","website_url":"https://topenddevs.com/podcasts/adventures-in-machine-learning","image_url":"https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/230facb439840ff787c776d3ed78fcbd.jpg","author":"Charles M Wood","episode_count":209,"summary":"Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .","last_synced_at":null,"page_url":"https://stenobird.com/podcast/adventures-in-machine-learning"},"episode":{"title":"Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151","slug":"unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151","published_at":"2024-05-09T10:00:00+00:00","page_url":"https://stenobird.com/podcast/adventures-in-machine-learning/unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151","show_page_url":"https://stenobird.com/podcast/adventures-in-machine-learning","url":"https://www.spreaker.com/episode/unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151--59958449","audio_url":"https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/59958449/ml_151.mp3","summary":"Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In this episode, they explore the challenges and innovations in deploying models into production, particularly focusing on the real-world implications of ETA (Estimated Time of Arrival) modeling at Lyft. They share valuable insights, from the complexities of A/B testing and long-term impact assessment, to the dynamic nature of handling real-time data and addressing unpredictability in route predictions. Join them as they journey through the world of model deployment, bug identification, and career development within the fast-paced environment of Lyft's data-driven infrastructure. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Socials LinkedIn: Deeksha Goyal LinkedIn: Michael Sun Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .","meta_description":"Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of m…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4025,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/adventures-in-machine-learning/unraveling-the-complexities-of-model-deployment-in-dynamic-marketplaces-ml-151.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}