WEBVTT

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Machine Learning Basics

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In this video, we will understand basic machine learning concepts and types.

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Explore real-life uses and try a simple ML model.

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What is machine learning?

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Machine learning is a part of artificial intelligence that allows computers to learn from data

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and make decisions without being explicitly programmed.

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Imagine teaching a child to recognize animals after seeing many pictures.

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They start to understand what's a cat and what's a dog.

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ML works the same way.

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Types of machine learning

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There are three main types.

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Supervised learning. The model learns from labeled data.

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Unsupervised learning.

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It finds hidden patterns and unlabeled data.

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Reinforcement learning.

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It learns through rewards and penalties.

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Like a self-driving car learns to drive by getting rewards for safe moves and penalties for mistakes.

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Examples and applications.

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Common models include linear regression for predictions

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and classification for sorting things like spam emails or recognizing objects and images.

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Machine Learning is used in spam filters, voice assistance, recommendation systems, and more.

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Machine Learning helps computers learn from data and make smart decisions.

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With simple tools, anyone can explore how ML works in real life.