Last updated on February 23, 2026 by Editorial Team
Author(s): boris maynards
Originally published on Towards AI.
All you need to learn ML in 2026 is a laptop and a list of steps you can take.
I said it last year, the year before that 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 his experience as an AI research scientist. They emphasize the importance of taking a structured approach, focusing on specific programming skills, leveraging AI tools for coding, and using a variety of resources to understand mathematical concepts. The article also highlights the value of practical projects, the role of collaborative learning with AI, and the need to share one’s work in the field. Ultimately, the author outlines a roadmap that integrates modern methods and resources for aspiring ML practitioners.
Read the entire blog for free on Medium.
Published via Towards AI
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Comment: The content of the article represents the views of the contributing authors and not those of AI.
