Ensemble Methods For Machine Learning

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods.

Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations offers a unique perspective on machine learning aspects of microarray gene expression based cancer classification.

Learn Advanced Machine Learning Methods and Techniques for Data Analysis, Data Science, and Machine Learning

Unleash Data's Power: Analyze, Predict, Transform - Data Science, ML Algorithms, Model Deployment, Visualization