Supervised Learning VS Unsupervised Learning
About this lesson
What is the difference between Supervised Learning and Unsupervised Learning? In this visual explanation, we break down two fundamental types of Machine Learning and show how they work using clear animations and simple examples. Supervised Learning trains models using labeled data, where the correct answers are already known. The algorithm learns the relationship between inputs and outputs to make predictions. Unsupervised Learning, on the other hand, works with unlabeled data. Instead of predicting answers, the model discovers hidden patterns, structures, or groups within the data. In this video you will learn: • What Supervised Learning is • What Unsupervised Learning is • How labeled and unlabeled data differ • Examples like classification, regression, and clustering • When each approach is used in real-world AI systems If you're learning Artificial Intelligence, Machine Learning, or Data Science, understanding these two concepts is essential. This channel explains complex AI concepts using visual animations to make them simple and intuitive. Subscribe for more videos on: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, and Data Science. #ArtificialIntelligence #MachineLearning #SupervisedLearning #UnsupervisedLearning #AIExplained
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