Introducing MLOps
MLOps is an emerging discipline that blends the principles of DevOps and data science to streamline and enhance the machine learning life cycle. It encompasses a set of practices, principles, and tools designed to facilitate the entire journey of a machine learning model, from its inception to deployment, and beyond. In other words, MLOps is the bridge that connects the world of data science with the world of IT operations.
MLOps ensures that the promising machine learning models created by data scientists can be operationalized and maintained effectively in production environments. MLOps involves a holistic approach to managing machine learning workflows, covering aspects such as data acquisition, model development, testing, deployment, monitoring, and continuous improvement.
Why should you, as a reader, invest your time and energy in understanding and implementing MLOps? Here are some compelling reasons:
- Efficiency and speed: MLOps significantly improves...
