Can you predict whether a passenger would have survived the sinking of the Titanic based on factors like gender and income? How do you know if a mushroom is poisonous or safe to eat? What separates a cancerous cell from a typical one?
Students in Clayton Dagler’s machine-learning class at Franklin High School in Elk Grove, Calif. near Sacramento, Calif., puzzle over such complex problems by pairing a computer-coding language commonly used in artificial intelligence technologies with math concepts. Their assignments mirror how professionals increasingly look to AI to inform everything from disease diagnosis to fraudulent credit charges.
Dagler developed the course after a short conversation with the parent of one of his students, an Apple executive.
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