Titlebook: Machine Learning for Practical Decision Making; A Multidisciplinary Christo El Morr,Manar Jammal,Walid EI-Hallak Textbook 2022 The Editor(

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Support Vector Machine, their effectiveness in a high-dimensional space and in cases where the number of dimensions is higher than the number of instances in the dataset, and (2) their low use of memory and hence their memory efficiency.

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Voting and Bagging,e will introduce the ensemble technique and cover two ways in which to organize an ensemble (literally, a set) of machine learning methods called voting and bagging [2] and one algorithm to perform bagging called random forest [1, 3]. The other two ways to organize the ensemble methods are called bo

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Textbook 2022cience or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, a

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0884-8289 allows the reader to acquire a set of practical machine lea.This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward app

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