Ensemble Methods For Machine Learning

In Ensemble Methods for Machine Learning you'll learn to implement the most important ensemble machine learning methods from scratch. 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

• | Author: Gautam Kunapuli
• | Publisher: Manning
• | Publication Date: May 02, 2023
• | Number of Pages: 352 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1617297135
• | ISBN-13: 9781617297137