Demystifying Overfitting in Time Series
Last Updated on July 17, 2023 by Editorial Team
Author(s): Andrea Ianni
Originally published on Towards AI.
Sevilla FC popularity and Europa League 2023
Image by the author
Suppose that the Marketing department of Sevilla FC has defined a brand satisfaction index based on user interactions on social media. This index is studied in its temporal evolution. The goal of the data science department is to make a forecast about the future of the brand.
“Sevilla FC Marketing at work” — Image by the author
This index varies over time in a fairly predictable manner, following different moments of the football season. However, something unusual happens before the UEFA Europa League final in 2023. The Italian press publishes thousands of articles against Sevilla, assuming their defeat in… 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
