Unpacking the Differences: Machine Learning in Research versus Production Environments
Last Updated on April 6, 2023 by Editorial Team
Author(s): Youssef Hosni
Originally published on Towards AI.
Machine Learning has become a buzzword in the tech industry and beyond, with its applications ranging from image recognition to natural language processing. However, the way machine learning is implemented varies greatly depending on the environment in which it is used.
In this article, we will explore the differences between machine learning in research environments versus production environments. We will delve into the components of production machine learning and the challenges it poses to provide a better understanding of the complexities involved.
Photo by Kseniia Samoylenko on UnsplashMachine Learning in Research vs. Machine Learning in ProductionComponents of Production Machine LearningChallenges in Production… 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
