The MLOps Podcast
En podkast av Dean Pleban @ DagsHub
34 Episoder
-
📡 Building Scalable ML Models with Natanel Davidovits
Publisert: 16.12.2024 -
💼 AI in the Enterprise with Jeremie Dreyfuss
Publisert: 31.10.2024 -
🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor
Publisert: 15.9.2024 -
📊 Data-Driven Decisions: ML in E-Commerce Forecasting with Federico Bacci
Publisert: 15.8.2024 -
🚗 Driving Innovation: Machine Learning in Auto Claims Processing
Publisert: 15.7.2024 -
🚑 ML in the Emergency Room with Ljubomir Buturovic
Publisert: 10.6.2024 -
🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production
Publisert: 16.5.2024 -
🍪 Machine Learning in the cookie-less era with Uri Goren
Publisert: 18.4.2024 -
🛰️ Modern & Realistic MLOps with Han-chung Lee
Publisert: 18.3.2024 -
🩻 AI in Medical Devices & Medicine with Mila Orlovsky
Publisert: 15.2.2024 -
⏪ Making LLMs Backwards Compatible with Jason Liu
Publisert: 15.1.2024 -
🔴 Live MLOps Podcast – Building, Deploying and Monitoring Large Language Models with Jinen Setpal
Publisert: 6.9.2023 -
Live MLOps Podcast Episode!
Publisert: 28.8.2023 -
⛹️♂️ Large Scale Video ML at WSC Sports with Yuval Gabay
Publisert: 7.8.2023 -
🤖 GPTs & Large Language Models in production with Hamel Husain
Publisert: 20.6.2023 -
🫣 Is Data Science a dying job? with Almog Baku
Publisert: 23.5.2023 -
🏃♀️Moving Fast and Breaking Data with Shreya Shankar
Publisert: 30.3.2023 -
🚴♀️ Quick & Dirty Machine Learning with Noa Weiss
Publisert: 21.2.2023 -
✍️ Building ML Teams and Platforms with Assaf Pinhasi
Publisert: 23.1.2023 -
🎨 Stable Diffusion and generative models with David Marx
Publisert: 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
