ML Fundamentals
Association Rules
Finding "what goes with what" patterns in data, like people who buy beer often buy diapers too.
Definition
A rule-based machine learning technique for discovering interesting relationships and co-occurrence patterns between variables in large datasets. Key metrics are support, confidence, and lift.
Why it matters
Powers "people who bought this also bought that" features that drive retail revenue.
Related terms in ML Fundamentals
Activation Functions
The "switch" inside a neural network that decides whether a neuron should fire, allowing the AI to learn complex non-linear patterns.
Active Learning
A technique where the AI asks humans to label only the most confusing examples, saving time and money on data labeling.
Anomaly Detection
Finding the "weird" stuff in a dataset, like a credit card charge in a foreign country or a broken machine part.
Artificial General Intelligence (AGI)
A hypothetical "super-AI" that can learn and do any intellectual task a human can do, not just one specific thing.
From vocabulary to outcomes
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