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Titre	Apache Spark Machine Learning Blueprints
Temps	46 min 55 seconds
Fichier	apache-spark-machine_DTKxc.pdf
	apache-spark-machine_II32P.mp3
Lancé	2 years 5 months 25 days ago
Taille du fichier	1,270 KiloByte
Des pages	177 Pages
Classification	Sonic 44.1 kHz

Apache Spark Machine Learning Blueprints

Catégorie: Bandes dessinées, Etudes supérieures
Auteur: Rick Riordan, Wendell Odom
Éditeur: Adrian Tchaikovsky, Marian Keyes
Publié: 2019-02-09
Écrivain: Peter James
Langue: Catalan, Polonais, Hindi
Format: Livre audio, pdf

PDF Chapter 1: Spark for Machine Learning - Learning Analyl > // Train a RandomForest model. Interpreter int] Connected default val treeStrategy = val numTrees = 3øø 'auto" // Let the algorithm choose. val featureSubsetStrategy RandomForest trainCIass1fier(trainingData, val model treeStrategy, numTrees, featureSubsetStrategy, seed = 12345) import s

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Holdings: Apache Spark machine learning blueprints - Apache Spark machine learning blueprints : develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide /. Bibliographic Details. Main Author: Liu, Alex, (Author) Format: eBook.

Apache Spark Machine Learning Blueprints: Liu, Alex ... - Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using ...

Apache Spark Machine Learning Blueprints eBook by Alex Liu ... - Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using ...

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