ML Pipelines: From Prototype To Production Symphony
Machine Learning (ML) models are transforming industries, but building and deploying them effectively requires more than just writing code. A well-structured and automated ML pipeline is crucial for success. These pipelines streamline the entire ML workflow, from data ingestion to model deployment and monitoring, ensuring consistency, reproducibility, and efficiency. This article delves into the world of ML pipelines, exploring their benefits, components, implementation strategies, and best practices.
What is an ML Pipeline?
Defining the Concept
An ML pipeline is a series of interconnected steps that automate the entire machine learning process. It's not simply about running a script; it's about orchestrating a complex workflow that includes:For more details, visit Wikipedia.
Data ingestio...