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How does What Is Machine Learning work

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Answer

A machine learning system takes input data, uses an algorithm to find patterns, and produces a model. The model is trained by comparing its predictions to known answers and adjusting itself to reduce errors, then it is used to predict on new data.
Real-world example An email provider uses machine learning to sort spam from normal messages by learning from millions of past emails that were already labeled as spam or not spam.

Common follow-ups: What is supervised learning, What is the difference between AI and machine learning, What is a training dataset

Machine Learning Fundamentals Deep Learning Supervised & Unsupervised Learning
All 7 What Is Machine Learning questions