Ensemble Methods for Machine Learning

von Gautam Kunapuli

352 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models.

• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Maschinelles Lernen
• ISBN: 9781617297137
• Sprache: Englisch
• Erscheinungsdatum: 02.05.2023
• Größe: 231 x 185 mm
• Verlag: Manning