Amit Yadav

Activation Functions for Binary Classification

“The journey of a thousand miles begins with a single step.” — Lao Tzu. When it comes to machine learning, especially binary classification, that first step begins with understanding the problem at hand. What is Binary Classification? At its core, binary classification is a type of supervised learning where your model needs to distinguish between

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Support Vector Machines for Regression

Let’s start with the basics—regression. Whether you realize it or not, regression is everywhere. It’s the statistical backbone of many predictions you see daily, from forecasting the weather to predicting stock prices. In simple terms, regression is about understanding relationships between variables and using those relationships to make predictions. You might be wondering, “Why is

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Support Vector Machines Applied to Face Recognition

Imagine this: You’re walking through an airport, and instead of fumbling for your passport or boarding pass, you simply glance at a camera, and voilà—you’re identified, verified, and ready to board. This is the power of face recognition technology. It’s not just a cool sci-fi concept; it’s a technology that’s rapidly integrating into our daily

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