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This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a
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Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object
Language: en
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Type: BOOK - Published: 2017-10-04 - Publisher: Independently Published
If you want to learn how decision trees and random forests work, plus create your own, this visual book is for you. The fact is, decision tree and random forest
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Type: BOOK - Published: 2017-09-09 - Publisher: Createspace Independent Publishing Platform
"Learn how to use decision trees and random forests for classification and regression, their respective limitations, and how the algorithms that build them work
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In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors
