The MLOps Podcast
Un pódcast de Dean Pleban @ DagsHub
34 Episodo
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📡 Building Scalable ML Models with Natanel Davidovits
Publicado: 16/12/2024 -
💼 AI in the Enterprise with Jeremie Dreyfuss
Publicado: 31/10/2024 -
🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor
Publicado: 15/9/2024 -
📊 Data-Driven Decisions: ML in E-Commerce Forecasting with Federico Bacci
Publicado: 15/8/2024 -
🚗 Driving Innovation: Machine Learning in Auto Claims Processing
Publicado: 15/7/2024 -
🚑 ML in the Emergency Room with Ljubomir Buturovic
Publicado: 10/6/2024 -
🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production
Publicado: 16/5/2024 -
🍪 Machine Learning in the cookie-less era with Uri Goren
Publicado: 18/4/2024 -
🛰️ Modern & Realistic MLOps with Han-chung Lee
Publicado: 18/3/2024 -
🩻 AI in Medical Devices & Medicine with Mila Orlovsky
Publicado: 15/2/2024 -
⏪ Making LLMs Backwards Compatible with Jason Liu
Publicado: 15/1/2024 -
🔴 Live MLOps Podcast – Building, Deploying and Monitoring Large Language Models with Jinen Setpal
Publicado: 6/9/2023 -
Live MLOps Podcast Episode!
Publicado: 28/8/2023 -
⛹️♂️ Large Scale Video ML at WSC Sports with Yuval Gabay
Publicado: 7/8/2023 -
🤖 GPTs & Large Language Models in production with Hamel Husain
Publicado: 20/6/2023 -
🫣 Is Data Science a dying job? with Almog Baku
Publicado: 23/5/2023 -
🏃♀️Moving Fast and Breaking Data with Shreya Shankar
Publicado: 30/3/2023 -
🚴♀️ Quick & Dirty Machine Learning with Noa Weiss
Publicado: 21/2/2023 -
✍️ Building ML Teams and Platforms with Assaf Pinhasi
Publicado: 23/1/2023 -
🎨 Stable Diffusion and generative models with David Marx
Publicado: 19/1/2023
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
