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rtificial Intelligence) and Machine Learning are often used interchangeably, but they are distinct โconcepts. AI refers to the broader field of creating machines capable of performing tasks that would โtypically require human intelligence. Machine Learning, on the other hand, is a subset of AI that focuses on developing algorithms that allow computers to learn from and improve upon data. While AI encompasses a range of technologies, including rule-based systems and robotics, Machine Learning specifically involves training models on data to make predictions or decisions. Understanding this distinction helps clarify how these technologies are applied in real-world scenarios.
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Jeff Bezos Says the 1-Hour Rule Makes Him Smarter. New Neuroscience Says Heโs Right
Jessica Stillman
Jessica Stillman
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