Coding Final

Front

How computers recognize patterns and make decisions without being explicitly programmed

Back

machine learning

Front

The inputs that a model uses to make decisions

Back

features

Front

The output you are trying to decide or predict with a model.

Back

label

Front

When a human trains a model to learn with examples

Back

supervised learning

Front

A computer program designed to make a decision

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model

Front

Finding patterns in data that doesn't have any labels

Back

unsupervised learning

Front

giving examples to a model so it can learn

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training

Front

Data that can be separated into groups

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categorical data

Front

Predicting a category based on other features

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classification

Front

Data that can be counted or measured

Back

Numerical data