Karteikarten: Fundamentals of Machine Learning — 10 Karten

Machine learning — definition?

Data-driven models predicting outcomes.

Machine learning — defines?

Models that predict outcomes from data.

Features (x) — role?

Input attributes for prediction.

Features (x) — role?

Input variables for prediction.

Regression — mechanism?

Predicts continuous numeric values.

Regression — prediction type?

Predicts continuous numerical values.

Supervised vs unsupervised — difference?

Labeled data vs pattern discovery without labels.

Model evaluation — metrics?

Accuracy, MAE, MSE, F1-score.

Neural network — function?

Layered structure for deep learning.

Clustering — type of learning?

Unsupervised grouping based on similarity.