Data Science (Record no. 12007)

MARC details
000 -LEADER
fixed length control field 02656nmm a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128147627
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number K849D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kotu, Vijay
Relator term Author
Language of a work English
9 (RLIN) 1027
245 #0 - TITLE STATEMENT
Title Data Science
Remainder of title : Concepts and Practice
Statement of responsibility, etc. / by Vijay Kotu and Bala Deshpande.
Medium [Electronic Resource]
250 ## - EDITION STATEMENT
Edition statement 2nd Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Massachusetts
Name of publisher, distributor, etc. : Elsevier,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 570p.
520 ## - SUMMARY, ETC.
Summary, etc. Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You'll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more... Contains fully updated content on data science, including tactics on how to mine business data for information Presents simple explanations for over twenty powerful data science techniques Enables the practical use of data science algorithms without the need for programming Demonstrates processes with practical use cases Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language Describes the commonly used setup options for the open source tool RapidMiner
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
9 (RLIN) 248
Topical term or geographic name entry element Databases
9 (RLIN) 1029
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Deshpande, Bala
Relationship information [Author]
9 (RLIN) 1030
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=5608228">https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=5608228</a>
Electronic format type PDF
Link text Click to Access the Online Book
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Suppress in OPAC
Holdings
Withdrawn status Lost status Damaged status Use restrictions Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
      e-Book For Access   Textbook S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online 2022-09-20 Infokart India Pvt. Ltd., New Delhi 83.94   006.312 K849D EB0143 2022-09-20 2022-09-20 e-Book Platform : ProQuest