Ensemble Methods for Machine Learning

Name: Ensemble Methods for Machine Learning
Brand: Manning Publications
SKU: 9781617297137
Price: 5953.0 INR
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by Gautam Kunapuli

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ISBN13: 9781617297137
Binding: Paperback
Subject: N/A
Publisher: Manning Publications
Publisher Imprint: Manning Publications
Publication Date: June 9, 2023
Pages: 350
Original Price: GBP 52.99
Language: English
Edition: N/A
Item Weight: 604 grams
BISAC Subject(s): Data Science / Machine Learning, Data Science / Neural Networks, and Languages / Python

About The Book

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.
About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

About The Author

Kunapuli, Gautam: - Gautam Kunapuli has over 15 years of experience in academia and the machine learning industry. He has developed several novel algorithms for diverse application domains including social network analysis, text and natural language processing, behavior mining, educational data mining and biomedical applications. He has also published papers exploring ensemble methods in relational domains and with imbalanced data.

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