Machine Learning Operations (MLOps) | Estateplanning

Machine Learning Operations (MLOps) is a systematic approach to building, deploying, and monitoring machine learning models in production environments. It combines principles from DevOps, data engineering, and machine learning to ensure efficient, reliable, and scalable model development. MLOps involves companies like Google, Amazon, and Microsoft, and utilizes tools such as TensorFlow, PyTorch, and scikit-learn. As discussed by experts like Andrew Ng and Jeremy Howard, MLOps is crucial for successful model deployment.