Model - a computer program designed to make a decision, Unsupervised Learning - finding patterns in data that doesn’t have any labels, Features - the inputs that the model uses to make decisions, Supervised Learning - When a human trains a model to learn with examples., Training - the process of giving examples to a model so it can learn, Label - the output you are trying to decide or predict with a model,

Types of Machine Learning

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