When we talk about machine learning, few concepts are as intuitive—and powerful—as the Decision Tree. Much like its name suggests, a decision tree maps choices and consequences in a way that is both human-readable and mathematically elegant. Through the lens of y = f(x), it becomes even easier
When we think about artificial intelligence, we often imagine complex neural networks, vast data centers, and futuristic applications. Yet, at its core, every AI system boils down to something beautifully simple: y = f(x). This little formula—an input, a transformation, and an output—captures the soul of AI better
Welcome to our very first f(x) Fridays, where we tackle real-world problems through the lens of y = f(x). Today we’re diving deep—literally—into a crisis affecting every continent, every community, and every coastline: ocean pollution. From swirling plastic gyres to dying coral reefs, the oceans are
In the world of mathematics, few notations are as elegant, compact, and profound as this: y = f(x). On the surface, it's a simple expression. But beneath that simplicity lies a revolutionary idea that changed not just math, but how we think about systems, logic, and even the
Hello and welcome to y = f(x) — a space where we break down the world of Artificial Intelligence into something clear, curious, and deeply human. If you’ve ever stared at a math formula like y = f(x) and thought, “That’s just math…”—well, surprise: that formula is also