Introduction to MLOps for Data Science
Last Updated on July 26, 2023 by Editorial Team
Author(s): Amit Chauhan
Originally published on Towards AI.
A part of continuous integration, continuous development, and continuous testing
This member-only story is on us. Upgrade to access all of Medium.
Image Source
What is MLOps?
If we break down the word itself, it is a combination of 2 words, machine learning, and operations. Where machine learning stands for model development or any kind of code development and operations means production and deployment of code.
A more technical definition of MLOps is a set of principles and practices to standardize and streamline the machine learning lifecycle management.
Well, it is not a new technology or tool but rather a culture with a set of principles, guidelines defined in a machine learning world to seamlessly… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
