In this beginner-friendly talk, Java developer Marianne Hoornenborg demystifies the surprisingly simple math behind AI. She covers how boolean logic powers decision trees, why floating-point precision affects confidence scores, and how vector geometry drives recommendation systems, plus a quick refresher on binary and hexadecimal at the machine level.
Packed with hands-on Java examples, this session proves you don’t need an advanced math degree to crack the code of intelligent systems. Perfect for newcomers or anyone dusting off their old math knowledge—prepare to see AI in a whole new (easy-to-grasp) light!
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