How I’d Learn ML in 2026 (If I Could Start Over)
Last Updated on February 23, 2026 by Editorial Team
Author(s): Boris Meinardus
Originally published on Towards AI.
All you need to learn ML in 2026 is a laptop and a list of the steps you need to take.
I said it last year, the year before, and I’ll say it again.
In this article, the author shares insights on how to effectively learn machine learning (ML) in 2026, based on their experience as an AI research scientist. They emphasize the importance of having a structured approach, focusing on specific programming skills, leveraging AI tools for coding, and utilizing various resources for comprehending mathematical concepts. The article also highlights the value of practical projects, the role of collaborative learning with AI, and the necessity of sharing one’s work in the field. Ultimately, the author outlines a roadmap that integrates modern methodologies and resources for aspiring ML practitioners.
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
