Sparks And Scales

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Download or read book Advanced Analytics with Spark written by Sandy Ryza and published by "O'Reilly Media, Inc.". This book was released on 2015-04-02 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find these patterns useful for working on your own data applications. Patterns include: Recommending music and the Audioscrobbler data set Predicting forest cover with decision trees Anomaly detection in network traffic with K-means clustering Understanding Wikipedia with Latent Semantic Analysis Analyzing co-occurrence networks with GraphX Geospatial and temporal data analysis on the New York City Taxi Trips data Estimating financial risk through Monte Carlo simulation Analyzing genomics data and the BDG project Analyzing neuroimaging data with PySpark and Thunder

Download or read book Large-Scale Data Analytics with Python and Spark written by Isaac Triguero and published by Cambridge University Press. This book was released on 2023-11-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on textbook for courses on large-scale data analytics and designing machine learning solutions.

Download or read book Pennsylvania State Reports written by Pennsylvania. Supreme Court and published by . This book was released on 1919 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Containing cases decided by the Supreme Court of Pennsylvania." (varies)

Download or read book Natural Language Processing with Spark NLP written by Alex Thomas and published by O'Reilly Media. This book was released on 2020-06-25 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You’ll also explore special concerns for developing text-based applications, such as performance. In four sections, you’ll learn NLP basics and building blocks before diving into application and system building: Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning Building blocks: Learn techniques for building NLP applications—including tokenization, sentence segmentation, and named-entity recognition—and discover how and why they work Applications: Explore the design, development, and experimentation process for building your own NLP applications Building NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support

Download or read book One Little Spark! written by Marty Sklar and published by Disney Electronic Content. This book was released on 2015-09-01 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: We've all read about the experts: the artists, the scientists, the engineers—that special group of people known as Imagineers for The Walt Disney Company. But who are they? How did they join the team? What is it like to spend a day in their shoes? Disney Legend Marty Sklar wants to give back to fans and answer these burning questions. When Marty was president of Walt Disney Imagineering, he created a list of principles and ideals for the team, aptly named Mickey's Ten Commandments. Using this code of standards as his organizational flow, Marty provides readers with insights and advice from himself and dozens of hands-on Imagineers from around the globe. It's a true insider's look like no other!

Download or read book Sparks written by Laura Bickle and published by Simon and Schuster. This book was released on 2010-08-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: WITHOUT A TRACE Anya Kalinczyk is the rarest type of psychic medium, a Lantern, who holds down a day job as an arson investigator with the Detroit Fire Department—while working 24/7 to exterminate malicious spirits haunting a city plagued by unemployment and despair. Along with her inseparable salamander familiar, Sparky, Anya has seen, and even survived, all manner of fiery hell—but her newest case sparks suspicions of a bizarre phenomenon that no one but her eccentric team of ghost hunters might believe: spontaneous human combustion. After fire consumes the home of elderly Jasper Bernard, Anya is stunned to discover his remains—or, more precisely, a lack of them; even the fiercest fires leave some trace of their victims—and she is sure this was no naturally occurring blaze. Soon she’s unearthed a connection to a celebrity psychic who preys on Detroit’s poor, promising miracles for money. But Hope Solomon wants more—she’s collecting spirits, and in a frantic race against time, Anya will face down an evil adversary who threatens her fragile relationship with her lover, her beloved Sparky’s freshly hatched newts, and the wandering souls of the entire city