Flashcard: Introduction to Machine Learning — 10 carte

Machine Learning — definition?

Computers learn from data to make decisions.

Machine Learning — definition?

Subset of AI enabling data-driven decisions.

Milestone — Perceptron?

An early neural network model for binary classification.

Algorithm — role?

Analyzes data and finds patterns.

Supervised Learning — role?

Uses labeled data to train predictive models.

Model — what?

Representation trained to make predictions.

Features — examples?

Input variables like age, income.

Labels — role?

Target outputs like spam/not spam.

Training Data — purpose?

Teaches the model through examples.

Overfitting — what?

Model learns noise, poor generalization.