Machine Learning Pipelines Explained: Components, Benefits, and Best Practices
Unlocking the full potential of machine learning requires more than just building a model. It demands a robust, automated system to train, validate, deploy, and monitor those models. Enter the Machine Learning Pipeline – a cornerstone of modern data science and a critical component for organizations aiming to leverage AI effectively. In this guide, we'll explore the ins and outs of ML pipelines, providing a comprehensive overview of their components, benefits, and implementation strategies.
What is an ML Pipeline?
Defining the ML Pipeline
A Machine Learning (ML) pipeline is a series of interconnected steps that automate the entire machine learning workflow. This process begins with raw data and culminates in a deployed, monitored model ready to make predictions or decisions. It's not ju...