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Jul 7

🧠 How Do Machines Learn? Supervised vs Unsupervised Learning

In my previous entries, we explored AI, ML, DL, and how training works. Now let’s answer a new question: 👉 How exactly do machines learn from data? Turns out there are different types of learning — and understanding them helps unlock how intelligent systems are built.🧭 1. Supervised Learning — Learning with LabelsThis is the most common type of machine learning.You give the algorithm input data (like images)And also correct answers (labels like “cat” or “dog”)The system learns to map inputs...

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🤖 Understanding the AI Landscape — A Beginner's Guide

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🧠 Beyond the Basics: How AI Systems Learn from Data

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Blog iconMr H
Jul 6
🧠 Beyond the Basics: How AI Systems Learn from Data
In my previous entry I shared a beginner’s view of AI, ML, and DL. This time, we go one level deeper: How do machines actually learn from data? What’s the difference between “training” and “inference”? And what are the building blocks behind powerful AI models?🔁 Training vs InferenceEvery AI model has two modes:Training:The model sees tons of data.It adjusts internal parameters (like memory) to learn patterns.This process can take hours or weeks.Inference:After training, it’s ready to make p...
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Blog iconMr H
Jul 5
🤖 Understanding the AI Landscape — A Beginner's Guide
Artificial Intelligence is no longer science fiction — it's already shaping how we live, code, and interact. For developers, creators, and tech enthusiasts, understanding the basics of AI is no longer optional. Here's a clear, beginner-friendly breakdown of core concepts like AI, ML, and DL — along with real examples and simple metaphors.🧩 Section 1: The AI, ML, DL PyramidLet’s start with the big picture:AI > ML > DL Artificial Intelligence is the umbrella. Machine Learning is a su...