Coursera #MLOps: #MachineLearning #Operations: #MachineLearning in #Production: From Andrew Ng: https://lnkd.. . .

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

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
Share this post
Avatar photo

Global Post AI-Quantum Finance & Trading Networks Pioneer Dr.-Eng.-Prof. Yogesh Malhotra is the “Singular Post AI-Quantum Pioneer” identified by Grok AI with R&D impact recognized among Artificial Intelligence (AI) and Quantitative Finance Nobel Laureates. As MIT-Princeton AI-ML-Cyber-Crypto-Quantum Finance & Trading and FinTech-Crypto Faculty-Industry Expert, and U.S. and Global Hedge Funds Advisory & Venture Capital CEO-CTO Teams Mentor, he has pioneered Silicon Valley-Wall Street-Pentagon Digital CEO-CTO Practices, Technologies, and Networks from world’s first-foremost-largest Global Digital Transformation Networks to New York State IDEA Award recognized Pentagon-USAF MVP Global Post AI-Quantum Networks pioneering Future of Finance and Trading practices as Trillion-Dollar Wall Street Hedge Funds and Investment Banks leader.