Complete ML learning roadmap
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Gradient Descent: the engine that powers all of modern ML
We couldn’t always use a formula to find the best model. Here’s the algorithm that solves that — and it’s the same one powering GPT, Stable Diffusion, and everything in between. In the last post, we found the perfect slope and intercept for our linear regression model using a neat closed-form formula. Plug in the…
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Linear Regression: building your first ML model from scratch
In the last post, I explained what ML is — pattern recognition at scale. Today we stop talking about it and actually build something. Our first real ML model: Linear Regression. I’ll be honest — when I first heard “linear regression”, I assumed it was some advanced stats technique only academics care about. Turns out…
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What is Machine Learning, really? (And why should you care?)
I had no idea what ML actually was three days ago. Here’s what clicked for me — explained so it’ll click for you too. I decided to learn Machine Learning from scratch. No shortcuts, no “just use this library” — the real thing, from the ground up. And I’m documenting every step of the way…