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Rahul Agarwal

Founder | Agentic AI... • 1d

AI isn’t magic. It’s a language. And knowing its terms is the first step to mastering it. Here’s a quick guide to what every professional should understand: Machine Learning - algorithms predicting outcomes from patterns in data. Neural Networks - structures that imitate the human brain for complex problem-solving. Deep Learning - pushes machines to tackle problems beyond traditional approaches. Natural Language Processing (NLP) - teaching machines to interpret human speech and text. Natural Language Understanding (NLU) - diving deeper into linguistic subtleties. Computer Vision - enabling machines to “see” and make sense of visuals. Reinforcement Learning - learning by trial, error, and reward signals. Supervised Learning - training machines with examples and known results. Unsupervised Learning - spotting patterns without explicit guidance. Semi-supervised Learning - blending labeled and unlabeled data for smarter insights. Understanding these concepts lets you make smarter decisions about AI applications. It’s not just about knowing the words. It’s about knowing the possibilities. Every leader, founder, or decision-maker needs this literacy. AI is shaping strategies, products, and client experiences. The more fluent you are, the faster you move.

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