Machine learning is transforming industries, but at its core, it remains a field built on mathematics, logic, and structured data modeling. This article walks through the foundational principles of machine learning, stripping away the modern layers of abstraction to focus on its original essence. No libraries, no black boxes, just math and reasoning. Whether you’re a beginner with a math background or a curious technologist aiming to understand what actually powers intelligent systems, this is a ground-up journey into how machines learn.
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The AI Trap: Why Replacing Junior Engineers Might Cost Us the Future
AI is changing how we build software—faster, smarter, and increasingly without junior developers. But replacing entry-level roles with AI may leave us with a future shortage of experienced engineers who understand systems deeply enough to guide that same AI. This post explores why mentoring and experience still matter, and how we can build a sustainable path forward.