The MLOps Podcast
A podcast by Dean Pleban @ DagsHub
34 Episodes
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📡 Building Scalable ML Models with Natanel Davidovits
Published: 16/12/2024 -
💼 AI in the Enterprise with Jeremie Dreyfuss
Published: 31/10/2024 -
🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor
Published: 15/09/2024 -
📊 Data-Driven Decisions: ML in E-Commerce Forecasting with Federico Bacci
Published: 15/08/2024 -
🚗 Driving Innovation: Machine Learning in Auto Claims Processing
Published: 15/07/2024 -
🚑 ML in the Emergency Room with Ljubomir Buturovic
Published: 10/06/2024 -
🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production
Published: 16/05/2024 -
🍪 Machine Learning in the cookie-less era with Uri Goren
Published: 18/04/2024 -
🛰️ Modern & Realistic MLOps with Han-chung Lee
Published: 18/03/2024 -
🩻 AI in Medical Devices & Medicine with Mila Orlovsky
Published: 15/02/2024 -
⏪ Making LLMs Backwards Compatible with Jason Liu
Published: 15/01/2024 -
🔴 Live MLOps Podcast – Building, Deploying and Monitoring Large Language Models with Jinen Setpal
Published: 6/09/2023 -
Live MLOps Podcast Episode!
Published: 28/08/2023 -
⛹️♂️ Large Scale Video ML at WSC Sports with Yuval Gabay
Published: 7/08/2023 -
🤖 GPTs & Large Language Models in production with Hamel Husain
Published: 20/06/2023 -
🫣 Is Data Science a dying job? with Almog Baku
Published: 23/05/2023 -
🏃♀️Moving Fast and Breaking Data with Shreya Shankar
Published: 30/03/2023 -
🚴♀️ Quick & Dirty Machine Learning with Noa Weiss
Published: 21/02/2023 -
✍️ Building ML Teams and Platforms with Assaf Pinhasi
Published: 23/01/2023 -
🎨 Stable Diffusion and generative models with David Marx
Published: 19/01/2023
A podcast from DagsHub about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production
