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Aryan patil

Stealth • 10m

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing large amounts of data and demonstrating how humans solve the problems within that data. This helps the AI learn and develop new rules to respond to the data similarly to human intelligence. The more experiences (data) the AI is exposed to, the better it becomes at navigating future situations. Essentially, training a model is akin to feeding it experiences and allowing it to learn from them. ✨ Follow me for more useful tech information.

0 replies4 likes

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Is that data structures is essentially required to be an Ml engineer in 2024 ?

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