The MLOps Podcast
A podcast by Dean Pleban @ DagsHub
34 Episoade
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📡 Building Scalable ML Models with Natanel Davidovits
Publicat: 16.12.2024 -
💼 AI in the Enterprise with Jeremie Dreyfuss
Publicat: 31.10.2024 -
🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor
Publicat: 15.09.2024 -
📊 Data-Driven Decisions: ML in E-Commerce Forecasting with Federico Bacci
Publicat: 15.08.2024 -
🚗 Driving Innovation: Machine Learning in Auto Claims Processing
Publicat: 15.07.2024 -
🚑 ML in the Emergency Room with Ljubomir Buturovic
Publicat: 10.06.2024 -
🌊 AI-Native with Idan Gazit – The future of AI products and interfaces + Getting AI to production
Publicat: 16.05.2024 -
🍪 Machine Learning in the cookie-less era with Uri Goren
Publicat: 18.04.2024 -
🛰️ Modern & Realistic MLOps with Han-chung Lee
Publicat: 18.03.2024 -
🩻 AI in Medical Devices & Medicine with Mila Orlovsky
Publicat: 15.02.2024 -
⏪ Making LLMs Backwards Compatible with Jason Liu
Publicat: 15.01.2024 -
🔴 Live MLOps Podcast – Building, Deploying and Monitoring Large Language Models with Jinen Setpal
Publicat: 06.09.2023 -
Live MLOps Podcast Episode!
Publicat: 28.08.2023 -
⛹️♂️ Large Scale Video ML at WSC Sports with Yuval Gabay
Publicat: 07.08.2023 -
🤖 GPTs & Large Language Models in production with Hamel Husain
Publicat: 20.06.2023 -
🫣 Is Data Science a dying job? with Almog Baku
Publicat: 23.05.2023 -
🏃♀️Moving Fast and Breaking Data with Shreya Shankar
Publicat: 30.03.2023 -
🚴♀️ Quick & Dirty Machine Learning with Noa Weiss
Publicat: 21.02.2023 -
✍️ Building ML Teams and Platforms with Assaf Pinhasi
Publicat: 23.01.2023 -
🎨 Stable Diffusion and generative models with David Marx
Publicat: 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
