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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.
ImageIn 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.
Published via Towards AI
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