How to Build ML Models in the Modern Age?
Last Updated on July 25, 2023 by Editorial Team
Author(s): Poornachandra Sarang
Originally published on Towards AI.
Definitive guidelines for creating machine learning models

This member-only story is on us. Upgrade to access all of Medium.
Photo by Diego Jimenez on Unsplash
There are numerous approaches to building a machine learning model — thanks to technology advancement and a large range of options. A data scientist has found it challenging to choose the development path that will bring him the most success. I’ll now demonstrate the strategy used by myself and numerous other data scientists in the industry as practicing data scientists. These clear instructions will undoubtedly assist you in creating an effective ML model with time and money savings.
It is challenging for us to decide… 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.