Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1418| Title: | Ensemble Machine Learning Cookbook |
| Other Titles: | Over 35 practical recipes to explore ensemble machine learning techniques using Python |
| Authors: | Sarkar, Dipayan Natarajan, Vijayalakshmi |
| Keywords: | Ensemble Machine Learning Cookbook |
| Issue Date: | Jan-2019 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1300119; |
| Abstract: | Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine-learning algorithms to deliver superior powers. This book will help you to implement some popular machine- learning algorithms to cover different paradigms of ensemble machine learning, such as boosting, bagging, and stacking. |
| URI: | http://hdl.handle.net/123456789/1418 |
| ISBN: | 978-1-78913-660-9 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ensemble Machine Learning Cookbook.pdf | 8.02 MB | Adobe PDF | View/Open |
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