Can I read Mastering Spark with R on EtoBox?

Mastering Spark with R by Javier Luraschi, Kevin Kuo, and Edgar Ruiz is a book available to read on EtoBox.

What is Mastering Spark with R about?

Cover 1 Copyright 4 Table of Contents 7 Foreword 13 Preface 15 Formatting 17 Acknowledgments 17 Conventions Used in This Book 18 Using Code Examples 19 O’Reilly Online Learning 20 How to Contact Us 20 Chapter 1. Introduction 21 Overview 22 Hadoop 23 Spark 24 R 29 sparklyr 33 Recap 34 Chapter 2. Getting Started 35 Overview 35 Prerequisites 36 Installing sparklyr 37 Installing Spark 37 Connecting 38 Using Spark 39 Web Interface 40 Analysis 42 Modeling 43 Data 45 Extensions 45 Distributed R 46 Streaming 46 Logs 47 Disconnecting 48 Using RStudio 48 Resources 50 Recap 51 Chapter 3. Analysis 53 Overview 53 Import 56 Wrangle 57 Built-in Functions 59 Correlations 60 Visualize 62 Using ggplot2 62 Using dbplot 64 Model 66 Caching 68 Communicate 69 Recap 72 Chapter 4. Modeling 73 Overview 74 Exploratory Data Analysis 76 Feature Engineering 83 Supervised Learning 86 Generalized Linear Regression 90 Other Models 92 Unsupervised Learning 92 Data Preparation 93 Topic Modeling 94 Recap 96 Chapter 5. Pipelines 97 Overview 97 Creation 99 Use Cases 100 Hyperparameter Tuning 102 Operating Modes 103 Interoperability 104 Deployment 106 Batch Scoring 107 Real-Time Scoring 108 Recap 110 Chapter 6. Cluste

Author

Javier Luraschi, Kevin Kuo, and Edgar Ruiz

Language

EN