Decoding AI and Machine Learning: A Layman's Guide

Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords that are often used interchangeably, leading to confusion. If you're not a tech professional, understanding AI and ML can seem daunting. It's important to understand that AI and ML are related but different. AI is the overarching concept of making machines perform tasks that usually require human intelligence, while ML is a subset of AI that allows machines to learn and improve from data. In this article, we decode the basics of AI and ML into simpler terms so that even Layman's courses on AI and machine learning.

AI is the broader concept of simulating human intelligence in machines that can perform tasks such as learning, reasoning, and perception. It is achieved through algorithms that learn from patterns and correlations in large sets of data. The larger the data pool, the more accurate and predictive an AI algorithm becomes. Machine Learning is a subset of AI that provides the ability to learn and improve from experience without being explicitly programmed. In simpler terms, machines learn by processing large amounts of data and learning from patterns to improve their performance.