Your phone is full of models that learned from examples. Here is what they are.
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You do not need mathematics, code, or any background at all to understand what AI is doing. You need the right ten pictures, in the right order. This chapter builds them. What a model is and what it is not. Why we stopped writing rules and started showing examples. What data really means, how a pattern is found, and why a guess comes with a number attached. Then the piece everything else is made of: a machine that weighs what it hears and answers yes or no. You finish knowing where AI works, where it fails, why it states wrong things so calmly, and exactly where to go next on the map.
- A Hundred Models in Your Pocket
- Rules, or Examples
- Data Is Just Examples
- Finding the Pattern
- A Guess With a Number On It
- Being Wrong, On Purpose
- What the Model Looks At
- The Weighing Machine
- Bigger Data, More Layers
- Where It Helps, Where It Breaks