
Orchestrating Intelligence: ML Pipelines Beyond Automation
Machine learning is rapidly transforming industries, from healthcare to finance. But building and deploying successful machine learning models isn't just about having the best algorithm. It's about orchestrating the entire process – from data ingestion to model deployment – in a seamless and efficient manner. This is where machine learning pipelines come in, providing a structured and automated approach to building, training, and deploying ML models at scale.
What is a Machine Learning Pipeline?
Defining the ML Pipeline
A machine learning pipeline is a series of interconnected steps that automate the machine learning workflow. Think of it as an assembly line for ML models. Each step in the pipeline performs a specific task, such as data ingestion, data preprocessing, feature engineering, m...