How can algorithms predict human behavior, sometimes even better than we know ourselves? From shopping habits to potential health risks, what are the underlying principles that allow machines to seemingly understand the intricacies of the human condition?

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We often hear about algorithms that can forecast our preferences, suggest products, or even detect health issues before they become apparent. How can a machine, which doesn’t have consciousness or feelings, accurately predict something so complex as human behavior? I’m fascinated by this intersection of technology and psychology and would love to hear from anyone who can shed light on the mysterious ways these algorithms seem to ‘know’ us. What’s happening behind the scenes that makes this possible?

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Anonymous 0 Comments

There is no underlying principles nor true understanding.

What computers have is an *incredible* amount of data from incredible amounts of people and the ability to actually compare all that data to each other.

Essentially they do pattern recognition, but do it on a scale that we can scarcely comprehend.

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