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Why Use Railway as Our PaaS? | Deployment of Machine Learning Models
Why did we choose Railway for deploying our ML app? 🚆
In this lecture, we compare popular PaaS options like AWS, Google Cloud Platform, and Microsoft Azure, explain why Heroku is no longer ideal for learning, and break down what makes Railway a great choice for ML projects—especially when working with FastAPI and larger dependencies like scikit-learn and SciPy.
🎓 If you want to master how to design, build, and deploy production-ready ML pipelines, check out our full course:
👉 https://www.trainindata.com/courses
🔗 Link to presentations:
https://www.trainindata.com/l/digital_download/924136/presentations-deployments-of-ml-models
#MLOps #MachineLearning #Deployment #PaaS #Railway #FastAPI #education #datascience #machinelearningmodels #machinelearningtutorial #trainindata #datascientist #dataengineering
Видео Why Use Railway as Our PaaS? | Deployment of Machine Learning Models канала Soledad Galli | Data Scientist @ Train in Data
In this lecture, we compare popular PaaS options like AWS, Google Cloud Platform, and Microsoft Azure, explain why Heroku is no longer ideal for learning, and break down what makes Railway a great choice for ML projects—especially when working with FastAPI and larger dependencies like scikit-learn and SciPy.
🎓 If you want to master how to design, build, and deploy production-ready ML pipelines, check out our full course:
👉 https://www.trainindata.com/courses
🔗 Link to presentations:
https://www.trainindata.com/l/digital_download/924136/presentations-deployments-of-ml-models
#MLOps #MachineLearning #Deployment #PaaS #Railway #FastAPI #education #datascience #machinelearningmodels #machinelearningtutorial #trainindata #datascientist #dataengineering
Видео Why Use Railway as Our PaaS? | Deployment of Machine Learning Models канала Soledad Galli | Data Scientist @ Train in Data
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25 апреля 2026 г. 14:00:10
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