Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6799014988100063232
Coursera #MLOps: #MachineLearning #Operations: #MachineLearning in #Production: From Andrew Ng: https://lnkd.in/gADs82a: https://lnkd.in/gTr-jBe
MLOps, or machine learning operations, is a set of practices that promise to empower engineers to #build, #deploy, #monitor, and #maintain #models reliably and repeatably at scale. Just as #git, #TensorFlow, and #PyTorch made version control and #model #development easier, MLOps tools will make machine learning far more productive. MLOps is a set of #processes and #tools that helps ensure that machine learning models perform in production the way the people who built them expected them to.
Given our pioneering focus on #real #world deployment of advanced #information #technologies such as #AI and #Quantum #Computing in messy #production #environments for #realtime #performance: https://lnkd.in/eQAR3rd: as well as on mitigating #model #risk: https://lnkd.in/gFn4Vm2, we find latest DeepLearning.AI Coursera Machine Learning Engineering for Production Specialization relevant to our global network members.
Princeton University #AI #ML #DL #Quant #Cyber #Crypto #Quantum #Computing #ModelRisk #Management Presentations ModelRiskArbitrage.com
Global Risk Management Network LLC: AIMLExchange™: C4I-Cyber™: AI-Quant-Cyber-Crypto-Quantum Leader