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Showing posts from May, 2025

What is Computer Vision?

What is Computer Vision? AI’s Eyes Explained Computer vision’s how AI sees—turning pixels into meaning. It’s behind self-driving cars, face unlocks, even OCR on your scanner. Welcome to Decoding Complexities . This post digs into what computer vision is, how it works with neural networks, and why it matters.  No fluff—let’s break down the tech and see it in action. Computer Vision Basics Computer vision’s a chunk of AI that processes images or video—think eyes for machines. It’s not just snapping pics; it’s understanding them. Pixels go in—numbers representing color or brightness—and AI spits out labels like “cat” or “stop sign.” Key tasks it handles: Image classification—tag a pic as “dog” or “car.” Object detection—spot and box multiple things in one frame. Segmentation—outline exact shapes, pixel by pixel. It’s deep learning’s playground—neural networks crunch the data. Let’s see how. How It Works: Th...

What is Central Tendency? And, How do we measure it?

What is Central Tendency? In the age of Artificial Intelligence, World revolves around data. Understanding the data is a key. When working with numerical data, at times we would want to represent whole data set with a single value (like average of the data) that we may call "Central Value" or "Middle Value". How do we measure Central Value or Central Tendency? There are different ways to measure the central value of the data provided. This could vary depending on the how we want to look at the data. Like, Do we need to calculate an average of the data? Do we need to split the data into two equal parts? Do we need to identify the value that occurred most of the time in data? Based on what we need to look at, Below are the different measures. Mean Median Mode Let's now look at what each measure is and how do we calculate mean with an example. Mean Mean ...