Mastering MLOps: Complete course for ML Operations
git.ir
Mastering MLOps: Complete course for ML Operations
Advanced hands-on bootcamp of MLOps with MLFlow, Scikit-learn, CI/CD, Azure, FastAPI, Gradio, SHAP, Docker, DVC, Flask..
已浏览 1202 次2023年8月30日
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14 reactions | Aujourd'hui, on parle de MLOps, une philosophie inspirée du DevOps. L'objectif? Faciliter l'intégration des modèles de machine learning et les mettre en production dans un écosystème d'applications d'ingénierie logicielle classique. #MLOps #MachineLearning #DevOps #IA #Innovation | Jordy Bayo | Facebook
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14 reactions | Aujourd'hui, on parle de MLOps, une philosophie inspirée du
Jordy Bayo
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MLOps Roadmap 2025 Ultimate Guide to AI Deployment & DevOps! |
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MLOps Best Practices
MLOps Checklist – 10 Best Practices for a Successful Model Deployment
MLOps Checklist – 10 Best Practices for a Successful Model Deployment
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Getting started with MLOps - MLOps Essentials: Model Development and Integration Video Tutorial | LinkedIn Learning, formerly Lynda.com
Getting started with MLOps - MLOps Essentials: Model Development and Integration Video Tutorial | LinkedIn Learning, formerly Lynda.com
linkedin.com
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Understand the full ML engineering lifecycle—from model building to deployment using MLOps best practices. | SCALER | Facebook
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Understand the full ML engineering lifecycle—from model building to deployment using MLOps best practices. | SCALER | Facebook
FacebookSCALER
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🚀 Train ML Models with Azure CLI v2 + Pipelines MLOps Tutorial for Beginners & Pros 👨‍💻🤖
YouTubeDeep knowledge
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18 reactions · 22 shares | MLOps is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. The goal of MLOps is to ensure that models are reliable, secure, and scalable, while also making it easier for data scientists and engineers to develop, test, and deploy ML models. Read more: https://hubs.la/Q02fGY810 #mlops #machinelearningops | Data Science Dojo | Facebook
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18 reactions · 22 shares | MLOps is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. The goal of MLOps is to ensure that models are reliable, secure, and scalable, while also making it easier for data scientists and engineers to develop, test, and deploy ML models. Read more: https://hubs.la/Q02fGY810 #mlops #machinelearningops | Data Science Dojo | Facebook
FacebookData Science Dojo
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Complete MLOps Bootcamp With 10 End To End ML Projects
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Open Source MLOps: Platforms, Frameworks and Tools
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What is MLOps? | IBM
ibm.com
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18 reactions · 22 shares | MLOps is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. The goal of MLOps is to ensure that models are reliable, secure, and scalable, while also making it easier for data scientists and engineers to develop, test, and deploy ML models. Read more: https://hubs.la/Q02fGY810 #mlops #machinelearningops | Data Science Dojo | Facebook
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18 reactions · 22 shares | MLOps is a set of practices and tools for str…
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Complete MLOps Bootcamp With 10 End To End ML Projects
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