Mastering Spark with R

Author: Javier Luraschi
Publisher: "O'Reilly Media, Inc."
ISBN: 1492046329
Category : Computers
Languages : en
Pages : 296

Book Description
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

Advanced Analytics with Spark

Author: Sandy Ryza
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912715
Category : Computers
Languages : en
Pages : 290

Book Description
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

Handbook of Scales in Tourism and Hospitality Research

Author: Dogan Gursoy
Publisher: CABI
ISBN: 1780644531
Category : Business & Economics
Languages : en
Pages : 428

Book Description
As the field of tourism and hospitality experiences maturity and scientific sophistication, researchers need to fully understand the breadth and depth of existing scales that help explain, understand, monitor, and predict not only behaviour but also consequences of such behaviour as a function of demand and supply interactions in the field. By introducing the importance of measurement and scales and providing groupings of existing scales The Handbook of Scales in Tourism and Hospitality Research serves as the state of the art reference book in the field of tourism, hospitality and allied fields such leisure, recreation, and services management .

Atlantic Reporter

Author:
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 1042

Book Description

Reports and Documents

Author: United States. Congress
Publisher:
ISBN:
Category :
Languages : en
Pages : 1888

Book Description

Large-Scale Data Analytics with Python and Spark

Author: Isaac Triguero
Publisher: Cambridge University Press
ISBN: 1009318233
Category : Computers
Languages : en
Pages : 396

Book Description
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.

Encyclopedia of Adolescence

Author: Roger J.R. Levesque
Publisher: Springer Science & Business Media
ISBN: 1441916946
Category : Psychology
Languages : en
Pages : 3161

Book Description
The Encyclopedia of Adolescence breaks new ground as an important central resource for the study of adolescence. Comprehensive in breath and textbook in depth, the Encyclopedia of Adolescence – with entries presented in easy-to-access A to Z format – serves as a reference repository of knowledge in the field as well as a frequently updated conduit of new knowledge long before such information trickles down from research to standard textbooks. By making full use of Springer’s print and online flexibility, the Encyclopedia is at the forefront of efforts to advance the field by pushing and creating new boundaries and areas of study that further our understanding of adolescents and their place in society. Substantively, the Encyclopedia draws from four major areas of research relating to adolescence. The first broad area includes research relating to "Self, Identity and Development in Adolescence". This area covers research relating to identity, from early adolescence through emerging adulthood; basic aspects of development (e.g., biological, cognitive, social); and foundational developmental theories. In addition, this area focuses on various types of identity: gender, sexual, civic, moral, political, racial, spiritual, religious, and so forth. The second broad area centers on "Adolescents’ Social and Personal Relationships". This area of research examines the nature and influence of a variety of important relationships, including family, peer, friends, sexual and romantic as well as significant nonparental adults. The third area examines "Adolescents in Social Institutions". This area of research centers on the influence and nature of important institutions that serve as the socializing contexts for adolescents. These major institutions include schools, religious groups, justice systems, medical fields, cultural contexts, media, legal systems, economic structures, and youth organizations. "Adolescent Mental Health" constitutes the last major area of research. This broad area of research focuses on the wide variety of human thoughts, actions, and behaviors relating to mental health, from psychopathology to thriving. Major topic examples include deviance, violence, crime, pathology (DSM), normalcy, risk, victimization, disabilities, flow, and positive youth development.

Pennsylvania State Reports

Author: Pennsylvania. Supreme Court
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 728

Book Description
"Containing cases decided by the Supreme Court of Pennsylvania." (varies)

Handbook of Soil Science

Author: Malcolm E. Sumner
Publisher: CRC Press
ISBN: 9780849331367
Category : Technology & Engineering
Languages : en
Pages : 2240

Book Description
The Handbook of Soil Science provides a resource rich in data that gives professional soil scientists, agronomists, engineers, ecologists, biologists, naturalists, and their students a handy reference about the discipline of soil science. This handbook serves professionals seeking specific, factual reference information. Each subsection includes a description of concepts and theories; definitions; approaches; methodologies and procedures; tabular data; figures; and extensive references.

Biophysico-Chemical Processes of Heavy Metals and Metalloids in Soil Environments

Author: Antonio Violante
Publisher: John Wiley & Sons
ISBN: 0470175478
Category : Science
Languages : en
Pages : 681

Book Description
Written by a multidisciplinary group of soil and environmental scientists, Biophysico-Chemical Processes of Heavy Metals and Metalloids in Soil Environments provides the scientific community with a critical qualitative and quantitative review of the fundamentals of the processes of pollutants in soil environments. The book covers pollutants' speciation, mobility, bioavailability and toxicity, and impacts on development of innovative restoration strategies. In addition, the development of innovative remediation strategies for polluted soils is covered.