Big Data Analytics: Introduction to Hadoop, Spark and Machine Learning (Record no. 43226)

MARC details
000 -LEADER
fixed length control field 01782nam a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230309s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789353164966
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74 KAM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kamal, Raj
245 ## - TITLE STATEMENT
Title Big Data Analytics: Introduction to Hadoop, Spark and Machine Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc McGraw Hill Education (India) Private Limited
Place of publication, distribution, etc Chennai
Date of publication, distribution, etc 2019
300 ## - PHYSICAL DESCRIPTION
Extent 508
520 ## - SUMMARY, ETC.
Summary, etc Big Data Analytics (BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve the interests of undergraduate and post graduate students of computer science and engineering, information technology, and related disciplines. It will also be useful to software developers. Salient Features:• Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big Data Hadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphX• Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree, classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics. • Follows a hierarchical and teach-by- example approach from elementary to advanced level.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Hadoop
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Saxena, Preeti
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book

No items available.