Deploying Machine Learning Models in Production
https://www.coursera.org/learn/deploying-machine-learning-models-in-production
In the fourth course of Machine Learning Engineering for Production Specialization, you will learn how to deploy ML models and make them available to end-users. You will build scalable and reliable hardware infrastructure to deliver inference requests both in real-time and batch depending on the use case. You will also implement workflow automation and progressive delivery that complies with current MLOps practices to keep your production system running. Additionally, you will continuously monitor your system to detect model decay, remediate performance drops, and avoid system failures so it can continuously operate at all times.
Categoria: Data Science
Subcategoria: Machine Learning
Tipo de Curso: Course
Habilidades: TensorFlow Serving,Model Monitoring,Model Registries,Machine Learning Operations (MLOps),Generate Data Protection Regulation (GDPR),
Idioma: English
Subtitulos: English, French
Rating: 4.6stars
Vistas: 248
Sitio Web: Coursera
Duracion: Approx. 31 hours to complete
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