ML Fundamentals
Anomaly Detection
Finding the "weird" stuff in a dataset, like a credit card charge in a foreign country or a broken machine part.
Definition
The identification of data points, patterns, or behaviors that deviate significantly from expected norms. Algorithms flag unusual observations that could indicate fraud, failures, or errors.
Why it matters
The core technology behind fraud prevention and predictive maintenance, saving billions annually.
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.
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.
Association Rules
Finding "what goes with what" patterns in data, like people who buy beer often buy diapers too.
From vocabulary to outcomes
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