Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…-- The Resilient Distributed Data Model -- The Spark Application Architecture -- The Role of the Driver Program -- The Role of the Cluster Manager -- Bring Your Own Cluster -- The Role of the Spark Executors -- The Modular Spark Ecosystem -- The Core Spark Modules -- From RDDs to DataFrames and Datasets -- Getting Up and Running with Spark -- Installing Spark -- Downloading Java JDK -- Downloading Scala -- Downloading Spark -- Taking Spark for a Test Ride -- The Spark Shell…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Spark for Machine Learning -- Spark overview and Spark advantages -- Spark overview -- Spark advantages -- Spark computing for machine learning -- Machine learning algorithms -- MLlib -- Other ML libraries -- Spark RDD and dataframes -- Spark RDD -- Spark dataframes -- Dataframes API for R -- ML frameworks, RM4Es and Spark computing -- ML frameworks -- RM4Es -- The Spark computing framework -- ML workflows and Spark pipelines -- ML as a step-by-step workflow -- ML workflow examples -- Spark notebooks -- Notebook approach for ML -- Step 1: Getting the software ready -- Step 2: Installing the Knitr package -- Step 3: Creating a simple report -- Spark notebooks -- Summary -- Chapter 2: Data Preparation for Spark ML -- Accessing and loading datasets -- Accessing publicly available datasets -- Loading datasets into Spark -- Exploring and visualizing datasets -- Data cleaning -- Dealing with data incompleteness -- Data cleaning in Spark -- Data cleaning made easy -- Identity matching -- Identity issues -- Identity matching on Spark -- Entity resolution -- Short string comparison -- Long string comparison -- Record deduplication -- Identity matching made better -- Crowdsourced deduplication -- Configuring the crowd -- Using the crowd -- Dataset reorganizing -- Dataset reorganizing tasks -- Dataset reorganizing with Spark SQL -- Dataset reorganizing with R on Spark -- Dataset joining -- Dataset joining and its tool - the Spark SQL -- Dataset joining in Spark -- Dataset joining with the R data table package -- Feature extraction -- Feature development challenges -- Feature development with Spark MLlib -- Feature development with R -- Repeatability and automation -- Dataset preprocessing workflows…”

Materias:

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Big Data Analytics with Spark -- Introduction -- Initializing SparkContext -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Working with Spark's Python and Scala shells -- How to do it... -- How it works... -- There's more... -- See also -- Building standalone applications -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Working with the Spark programming model -- How to do it... -- How it works... -- There's more... -- See also -- Working with pair RDDs -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Persisting RDDs -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Loading and saving data -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Creating broadcast variables and accumulators -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Submitting applications to a cluster -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Working with DataFrames -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Working with Spark Streaming -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 2: Tricky Statistics with Spark -- Introduction -- Working with Pandas -- Variable identification -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Sampling data -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Summary and descriptive statistics -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Generating frequency tables…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Setting Up Spark for Deep Learning Development -- Introduction -- Downloading an Ubuntu Desktop image -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Installing and configuring Ubuntu with VMWare Fusion on macOS -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Installing and configuring Ubuntu with Oracle VirtualBox on Windows -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Installing and configuring Ubuntu Desktop for Google Cloud Platform -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Installing and configuring Spark and prerequisites on Ubuntu Desktop -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Integrating Jupyter notebooks with Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Starting and configuring a Spark cluster -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Stopping a Spark cluster -- How to do it... -- How it works... -- There's more... -- Chapter 2: Creating a Neural Network in Spark -- Introduction -- Creating a dataframe in PySpark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Manipulating columns in a PySpark dataframe -- Getting ready -- How to do it... -- How it works... -- There's more... -- Converting a PySpark dataframe to an array -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Visualizing an array in a scatterplot -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”

Materias: “…Spark (Electronic resource : Apache Software Foundation)…”