Unveiling the simple math that powers AI
Java developer Marianne Hoornenborg breaks down the fearsome world of AI into bite-sized math concepts you already know (or can pick up fast). She shows how boolean logic builds decision trees, floating-point quirks shape confidence scores, and vector geometry drives recommendation engines—plus a refresher on binary and hexadecimal at the machine level.
Packed with hands-on Java examples, this talk proves that the “scary” math behind intelligent systems is actually pretty straightforward. Whether you’re brand new or brushing up on old skills, you’ll walk away feeling like an AI math wizard!
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