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Traditional programming tells computers what to do and they do it.

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But when a computer finds patterns or correlations in data and figures out an unexpected solution

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on its own, that's what's called machine learning.

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We experience machine learning all the time these days.

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Netflix, Spotify, and other streaming services use our prior searches, views, and listens

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to predict what we want to see and hear.

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Spam filters learn which emails to label as spam.

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Banks use machine learning to identify fraudulent transactions.

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These programs are using accumulated data and algorithms to become more and more accurate

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as time goes on.

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The machines are learning, so to speak, and machine learning isn't just affecting

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the online aspects of our lives, it aids farmers in deciding what to plant and when to harvest,

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and it helps autonomous vehicles improve the more they drive.

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Now, many people confuse the machine learning with artificial intelligence or AI.

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They are related, but they're not the same.

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Machine learning, extracting new knowledge from data, can help a computer achieve artificial

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intelligence.

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As we head toward a future where computers can do ever more complex tasks on their own,

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machine learning will be part of what gets us there.