Machine learning helps computers learn patterns from data and use them to make predictions. In supervised learning, labeled examples pair objects with known categories; the system calculates features from those examples and applies what it learned to a new, unlabeled object. section 11.1 section 11.8
Identifying an unknown author
Treat known books as training objects and their authors as labels. Features such as average word length, average words per sentence, and sentence complexity form a signature for each book. Comparing an unknown book with the learned signatures produces a predicted author, though the guess can be wrong or the author may be new. section 11.1 section 11.8
