Cargando…

Apache Spark 2.x Machine Learning Cookbook.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Amirghodsi, Siamak
Otros Autores: Rajendran, Meenakshi, Hall, Broderick, Mei, Shuen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2016.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_on1005006117
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |n|---|||||
008 170930s2016 enk o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d YDX  |d MERUC  |d IDB  |d CHVBK  |d OCLCQ  |d OCLCO  |d LVT  |d OCLCQ  |d OCLCO  |d OCLCQ 
019 |a 1005126240  |a 1005327711 
020 |a 9781782174608 
020 |a 1782174605 
020 |z 9781783551606 
029 1 |a CHNEW  |b 000974975 
029 1 |a CHVBK  |b 503261092 
029 1 |a AU@  |b 000067961390 
035 |a (OCoLC)1005006117  |z (OCoLC)1005126240  |z (OCoLC)1005327711 
050 4 |a QA76.9.D343  |b .A633 2017eb 
082 0 4 |a 006.312 
049 |a UAMI 
100 1 |a Amirghodsi, Siamak. 
245 1 0 |a Apache Spark 2.x Machine Learning Cookbook. 
260 |a Birmingham :  |b Packt Publishing,  |c 2016. 
300 |a 1 online resource (658 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a Cover; Title Page; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Practical Machine Learning with Spark Using Scala; Introduction; Apache Spark; Machine learning; Scala; Software versions and libraries used in this book; Downloading and installing the JDK; Getting ready; How to do it ... ; Downloading and installing IntelliJ; Getting ready; How to do it ... ; Downloading and installing Spark; Getting ready; How to do it ... ; Configuring IntelliJ to work with Spark and run Spark ML sample codes; Getting ready. 
505 8 |a How to do it ... There's more ... ; See also; Running a sample ML code from Spark; Getting ready; How to do it ... ; Identifying data sources for practical machine learning; Getting ready; How to do it ... ; See also; Running your first program using Apache Spark 2.0 with the IntelliJ IDE; How to do it ... ; How it works ... ; There's more ... ; See also; How to add graphics to your Spark program; How to do it ... ; How it works ... ; There's more ... ; See also; Chapter 2: Just Enough Linear Algebra for Machine Learning with Spark; Introduction; Package imports and initial setup for vectors and matrices. 
505 8 |a How to do it ... There's more ... ; See also; Creating DenseVector and setup with Spark 2.0; How to do it ... ; How it works ... ; There's more ... ; See also; Creating SparseVector and setup with Spark; How to do it ... ; How it works ... ; There's more ... ; See also; Creating dense matrix and setup with Spark 2.0; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Using sparse local matrices with Spark 2.0; How to do it ... ; How it works ... ; There's more ... ; See also; Performing vector arithmetic using Spark 2.0; How to do it ... ; How it works ... ; See also. 
505 8 |a Performing matrix arithmetic using Spark 2.0How to do it ... ; How it works ... ; Exploring RowMatrix in Spark 2.0; How to do it ... ; How it works ... ; There's more ... ; See also; Exploring Distributed IndexedRowMatrix in Spark 2.0; How to do it ... ; How it works ... ; See also ; Exploring distributed CoordinateMatrix in Spark 2.0; How to do it ... ; How it works ... ; See also ; Exploring distributed BlockMatrix in Spark 2.0; How to do it ... ; How it works ... ; See also ; Chapter 3: Spark's Three Data Musketeers for Machine Learning -- Perfect Together; Introduction; RDDs -- what started it all ... 
505 8 |a DataFrame -- a natural evolution to unite API and SQL via a high-level APIDataset -- a high-level unifying Data API; Creating RDDs with Spark 2.0 using internal data sources; How to do it ... ; How it works ... ; Creating RDDs with Spark 2.0 using external data sources; How to do it ... ; How it works ... ; There's more ... ; See also; Transforming RDDs with Spark 2.0 using the filter() API; How to do it ... ; How it works ... ; There's more ... ; See also; Transforming RDDs with the super useful flatMap() API; How to do it ... ; How it works ... ; There's more ... ; See also. 
500 |a Transforming RDDs with set operation APIs. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Data mining  |x Computer programs. 
650 6 |a Exploration de données (Informatique)  |x Logiciels. 
700 1 |a Rajendran, Meenakshi. 
700 1 |a Hall, Broderick. 
700 1 |a Mei, Shuen. 
776 0 8 |i Print version:  |a Amirghodsi, Siamak.  |t Apache Spark 2.x Machine Learning Cookbook.  |d Birmingham : Packt Publishing, ©2016 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5058274  |z Texto completo 
938 |a EBL - Ebook Library  |b EBLB  |n EBL5058274 
938 |a YBP Library Services  |b YANK  |n 14846448 
994 |a 92  |b IZTAP