Oblasti, naše knjige

Java, JavaScript, JScript, Perl

C++ Visual C++ C#

Apple - MAC OS X

Visual Basic .NET, VBA, V. Studio

Web design

Android

PHP I MYSQL

Python programiranje

WordPress

AutoCad, ArchiCAD, SolidWorks, Catia, Pro/Engineer

Mašinsko učenje

Access

Animacija

Audio, Multimedia, Video

Baze podataka

Cloud

CSS

Delphi

Digitalna fotografija

Django

E-komerc

ECDL

GOOGLE

Grafika, Dizajn, Štampa

Hardver

Internet

Joomla

jQuery

Mreže

MS Office

Obrada teksta

OFFICE 2013

Programiranje

Raspberry PI

Rečnici

Robotika

Sertifikati

SQL Server

Statistika

Tabele

Telekomunikacije

Unix, Linux

Windows

Windows 7

Windows 8

Zaštita i sigurnost

 

Oblasti, drugi izdavači

Alternativna učenja

Antropologija

Arheologija

Arhitektura

Astrologija

Astronomija

Audio kursevi + knjige

Autobiografija

Automobili

Bajke

Biografija

Biološke nauke

Botanika

Dečije knjige

Dizajn

Domaće pripovetke

Domaći roman

Drama

E-knjiga

Ekologija

Ekonomija

Elektrotehnika

Enciklopedija

Esejistika

Etika

Fantastika

Film

Filologija

Filozofija

Fizika

Fotografija

Geografija

Geologija

Građevinarstvo

Hemija

Hidrotehnika

Hobi

Horor

Humor

Intervju

Istorija

Istorija i teorija književnosti

Istorija umetnosti

Istorijski roman

Knjiga posle posla - Beletristika i ostala izdanja

Knjižare i naše knjige

Književna kritika

Kuvari, hrana i piće

Leksikografija

Lingvistika

Ljubavni roman

logo

Magija

Marketing

Mašinstvo

Matematika

Medicina

Memoari

Menadžment

Modeliranje podataka

Monografija

Muzika

Nagrađivanje knjige

Naučna fantastika

OpenOffice.org

Operativni sistemi

Oracle

Organizacione nauke

Pedagogija

Pisci u medijima

Ples

Poezija

Politika

Poljoprivreda

Popularna medicina

Popularna nauka

Popularna psihologija

Posao

Pozorište

Pravo

Pravoslavlje

Primenjene nauke

Pripovetke

Prirodne nauke

Priručnik

Psihologija

Publicistika

Putopis

Religija

Roman

Satira

Saveti

Slikarstvo

Socijalna mreža - Facebook

Sociologija

Sport

Sport i hobi

Strip

Tableti

Tehnologija

Triler

Turizam

Twitter

Udžbenici

Umetnost

Urbanizam

UX DIZAJN

 

Mašinsko učenje

 

Learning Apache Spark 2

 

Learning Apache Spark 2

Autor: Muhammad Asif Abbasi
Broj strana: 356
ISBN broj: 9781785885136
Izdavač: PACKT PUBLISHING
Godina izdanja: 2017.

Pregleda (30 dana / ukupno): 25 / 79

Predlog za prevod

  • Twitter
  • Facebook
  • Google plus
  • Linkedin
  • Pinterest
  • Email

 

 

What You Will Learn

  • Get an overview of big data analytics and its importance for organizations and data professionals
  • Delve into Spark to see how it is different from existing processing platforms
  • Understand the intricacies of various file formats, and how to process them with Apache Spark.
  • Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager.
  • Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats
  • Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark.
  • Introduce yourself to the deployment and usage of SparkR.
  • Walk through the importance of Graph computation and the graph processing systems available in the market
  • Check the real world example of Spark by building a recommendation engine with Spark using ALS.
  • Use a Telco data set, to predict customer churn using Random Forests.

Book Description

Spark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos.

The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases.

Once we understand the individual components, we will take a couple of real life advanced analytics examples such as ‘Building a Recommendation system’, ‘Predicting customer churn’ and so on.

The objective of these real life examples is to give the reader confidence of using Spark for real-world problems.

Authors

Muhammad Asif Abbasi

Muhammad Asif Abbasi has worked in the industry for over 15 years in a variety of roles from engineering solutions to selling solutions and everything in between. Asif is currently working with SAS a market leader in Analytic Solutions as a Principal Business Solutions Manager for the Global Technologies Practice. Based in London, Asif has vast experience in consulting for major organizations and industries across the globe, and running proof-of-concepts across various industries including but not limited to telecommunications, manufacturing, retail, finance, services, utilities and government. Asif is an Oracle Certified Java EE 5 Enterprise architect, Teradata Certified Master, PMP, Hortonworks Hadoop Certified developer, and administrator. Asif also holds a Master's degree in Computer Science and Business Administration.

Table of Contents

 

Budite prvi koji će ostaviti komentar.

Ostavite komentar Ostavite komentar

 

Preporučujemo

 

R Machine Learning By Example

1. R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Predlog za prevod

Više o knjizi Više o knjizi

 

Python Machine Learning By Example

2. Python Machine Learning By Example

Take tiny steps to enter the big world of data science through this interesting guide

Predlog za prevod

Više o knjizi Više o knjizi

 

Learning Apache Spark 2

3. Learning Apache Spark 2

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics

Predlog za prevod

Više o knjizi Više o knjizi