Machine Learning Basics - Vocabulary

Vocabulary flashcards summarizing key machine-learning terms and definitions from the lecture notes.

Supervised Learning

A learning approach where the algorithm is trained on labeled data to predict outputs (e.g., spam detection).

Unsupervised Learning

A learning approach that discovers patterns or groupings in unlabeled data (e.g., customer segmentation).

Neural Network

A computational model inspired by the human brain, forming the backbone of deep learning techniques.

Overfitting

A situation in which a model performs well on the training data but poorly on new, unseen data because it has essentially memorized the training set.

Epoch

One complete pass of the entire training dataset through a neural network during the training process.

Loss Function

A metric that measures how far a model's predictions deviate from the actual values, guiding model optimization.