Self-Supervised Learning: The Next Frontier in Machine Learning 0 like January 29, 2025Share this postAuthor(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? Trust me, Ive been there too. One day, its all about supervised learning and the next, people are throwing around terms like self-supervised learning as if its the holy grail of AI. I remember the first time I stumbled across this concept. My initial thought? Oh great, another buzzword. But the more I dug into it, the more I realized this wasnt just hype it was a game-changer.So, what exactly is self-supervised learning? And why are tech giants like Google and Facebook betting big on it? Lets dive in and explore this fascinating topic together.Before we get into the nitty-gritty, let me ask you something: Have you ever wondered how babies learn? They dont come into the world with labeled datasets, right? No one points to an apple and says, This is an apple 10,000 times. They just observe, explore, and figure things out. Thats essentially what self-supervised learning (SSL) is trying to replicate in machines.Unlike supervised learning, where models are trained on labeled data, SSL lets the Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post