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Ensemble Methods for Machine Learning by Gautam Kunapuli

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eBay item number:135133060337
Last updated on Jul 07, 2024 10:58:39 PDTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
EAN
9781617297137
UPC
9781617297137
ISBN
9781617297137
MPN
N/A
Book Title
Ensemble Methods for Machine Learning by Gautam Ku
Subject Area
Computers, Science
Publication Name
Ensemble Methods for Machine Learning
Publisher
Manning Publications Co. LLC
Item Length
9.2 in
Subject
Neural Networks, General, Programming Languages / Python
Publication Year
2023
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.9 in
Author
Gautam Kunapuli
Item Weight
22.6 Oz
Item Width
7.3 in
Number of Pages
350 Pages

About this product

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
1617297135
ISBN-13
9781617297137
eBay Product ID (ePID)
4050423121

Product Key Features

Number of Pages
350 Pages
Publication Name
Ensemble Methods for Machine Learning
Language
English
Publication Year
2023
Subject
Neural Networks, General, Programming Languages / Python
Type
Textbook
Author
Gautam Kunapuli
Subject Area
Computers, Science
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
22.6 Oz
Item Length
9.2 in
Item Width
7.3 in

Additional Product Features

Reviews
"The definitive and complete guide on ensemble learning. A must read!" Al Krinker "The examples are clear and easy to reproduce, the writing is engaging and clear, and the reader is not bogged down by details which might be unimportant for beginners in the field!" Or Golan "This book is a great tutorial on ensemble methods!" Stephen Warnett "The code examples as well as the case studies at the end of each chapter open many possibilities of using these techniques on your data/projects." Joaquin Beltran
Dewey Edition
23
Dewey Decimal
006.31
Synopsis
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., 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.
LC Classification Number
Q325.5
Copyright Date
2023
ebay_catalog_id
4

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