skip to content
Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques Preview this item
ClosePreview this item
Checking...

Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques

Author: Deepti Gupta
Publisher: Boston, Massachusetts : Apress, [2018] ©2018
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Case studies
Additional Physical Format: Print version:
Gupta, Deepti.
Applied analytics through case studies using SAS and R.
Boston, Massachusetts : Apress, [2018]
(OCoLC)1020613673
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Deepti Gupta
ISBN: 9781484235256 1484235258 9781484235263 1484235266 9781484240465 1484240464
OCLC Number: 1047959881
Description: 1 online resource (xx, 404 pages) : illustrations
Contents: Intro; Table of Contents; About the Author; About the Contributor; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Data Analytics and Its Application in Various Industries; What Is Data Analytics?; Data Collection; Data Preparation; Data Analysis; Model Building; Results; Put into Use; Types of Analytics; Understanding Data and Its Types; What Is Big Data Analytics?; Big Data Analytics Challenges; Data Analytics and Big Data Tools; Role of Analytics in Various Industries; Who Are Analytical Competitors?; Key Models and Their Applications in Various Industries; Summary Predictive Value Validation in Logistic Regression ModelLogistic Regression Model Using R; About Data; Performing Data Exploration; Model Building and Interpretation of Full Data; Model Building and Interpretation of Training and Testing Data; Predictive Value Validation; Logistic Regression Model Using SAS; Model Building and Interpretation of Full Data; Summary; References; Chapter 3: Retail Case Study; Supply Chain in the Retail Industry; Types of Retail Stores; Role of Analytics in the Retail Sector; Customer Engagement; Supply Chain Optimization; Price Optimization Space Optimization and Assortment PlanningCase Study: Sales Forecasting for Gen Retailers with SARIMA Model; Overview of ARIMA Model; AutoRegressive Model; Moving Average Model; AutoRegressive Moving Average Model; The Integrated Model; Three Steps of ARIMA Modeling; Identification Stage; Estimation and Diagnostic Checking Stage; Forecasting Stage; Seasonal ARIMA Models or SARIMA; Evaluating Predictive Accuracy of Time Series Model; Seasonal ARIMA Model Using R; About Data; Performing Data Exploration for Time Series Data; Seasonal ARIMA Model Using SAS; Summary; References Chapter 4: Telecommunication Case StudyTypes of Telecommunications Networks; Role of Analytics in the Telecommunications Industry; Predicting Customer Churn; Network Analysis and Optimization; Fraud Detection and Prevention; Price Optimization; Case Study: Predicting Customer Churn with Decision Tree Model; Advantages and Limitations of the Decision Tree; Handling Missing Values in the Decision Tree; Handling Model Overfitting in Decision Tree; Prepruning; Postpruning; How the Decision Tree Works; Measures of Choosing the Best Split Criteria in Decision Tree; Decision Tree Model Using R
Responsibility: Deepti Gupta.

Abstract:

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1047959881> # Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques
    a schema:MediaObject, schema:Book, schema:CreativeWork ;
    library:oclcnum "1047959881" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/mau> ;
    rdfs:comment "Warning: This malformed URI has been treated as a string - 'https://www.safaribooksonline.com/library/view/title/9781484235256/?ar?orpq&email=^u'" ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#CreativeWork/sas_computer_file> ; # SAS (Computer file)
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/r_computer_program_language> ; # R (Computer program language)
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/machine_learning> ; # Machine learning
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_enterprises_evaluation> ; # Business enterprises--Evaluation
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/computer_programming_software_development> ; # Computer programming--software development
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_&_economics_industries_general> ; # BUSINESS & ECONOMICS--Industries--General
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_mathematics_&_systems> ; # Business mathematics & systems
    schema:about <http://dewey.info/class/338.7/e23/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/databases> ; # Databases
    schema:about <http://experiment.worldcat.org/entity/work/data/4736860494#Topic/maths_for_computer_scientists> ; # Maths for computer scientists
    schema:author <http://experiment.worldcat.org/entity/work/data/4736860494#Person/gupta_deepti> ; # Deepti Gupta
    schema:bookFormat schema:EBook ;
    schema:copyrightYear "2018" ;
    schema:datePublished "2018" ;
    schema:description "Intro; Table of Contents; About the Author; About the Contributor; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Data Analytics and Its Application in Various Industries; What Is Data Analytics?; Data Collection; Data Preparation; Data Analysis; Model Building; Results; Put into Use; Types of Analytics; Understanding Data and Its Types; What Is Big Data Analytics?; Big Data Analytics Challenges; Data Analytics and Big Data Tools; Role of Analytics in Various Industries; Who Are Analytical Competitors?; Key Models and Their Applications in Various Industries; Summary"@en ;
    schema:description "Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/4736860494> ;
    schema:genre "Electronic books"@en ;
    schema:genre "Case studies"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1020613673> ;
    schema:name "Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques"@en ;
    schema:productID "1047959881" ;
    schema:url <https://www.books24x7.com/marc.asp?bookid=143110> ;
    schema:url <http://ezproxy.library.yorku.ca/sso/skillport?context=143110> ;
    schema:url "https://www.safaribooksonline.com/library/view/title/9781484235256/?ar?orpq&email=^u" ;
    schema:url <https://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5485426> ;
    schema:url <https://www.safaribooksonline.com/library/view//9781484235256/?ar> ;
    schema:url <https://link.springer.com/book/10.1007/978-1-4842-3525-6> ;
    schema:url <https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1865434> ;
    schema:url <https://doi.org/10.1007/978-1-4842-3525-6> ;
    schema:url <http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781484235256> ;
    schema:workExample <http://worldcat.org/isbn/9781484235256> ;
    schema:workExample <http://worldcat.org/isbn/9781484235263> ;
    schema:workExample <http://worldcat.org/isbn/9781484240465> ;
    schema:workExample <http://dx.doi.org/10.1007/978-1-4842-3525-6> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBB8L6655> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1047959881> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/4736860494#Person/gupta_deepti> # Deepti Gupta
    a schema:Person ;
    schema:familyName "Gupta" ;
    schema:givenName "Deepti" ;
    schema:name "Deepti Gupta" ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_&_economics_industries_general> # BUSINESS & ECONOMICS--Industries--General
    a schema:Intangible ;
    schema:name "BUSINESS & ECONOMICS--Industries--General"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_enterprises_evaluation> # Business enterprises--Evaluation
    a schema:Intangible ;
    schema:name "Business enterprises--Evaluation"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/business_mathematics_&_systems> # Business mathematics & systems
    a schema:Intangible ;
    schema:name "Business mathematics & systems"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/computer_programming_software_development> # Computer programming--software development
    a schema:Intangible ;
    schema:name "Computer programming--software development"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/maths_for_computer_scientists> # Maths for computer scientists
    a schema:Intangible ;
    schema:name "Maths for computer scientists"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/4736860494#Topic/r_computer_program_language> # R (Computer program language)
    a schema:Intangible ;
    schema:name "R (Computer program language)"@en ;
    .

<http://worldcat.org/isbn/9781484235256>
    a schema:ProductModel ;
    schema:isbn "1484235258" ;
    schema:isbn "9781484235256" ;
    .

<http://worldcat.org/isbn/9781484235263>
    a schema:ProductModel ;
    schema:isbn "1484235266" ;
    schema:isbn "9781484235263" ;
    .

<http://worldcat.org/isbn/9781484240465>
    a schema:ProductModel ;
    schema:isbn "1484240464" ;
    schema:isbn "9781484240465" ;
    .

<http://www.worldcat.org/oclc/1020613673>
    a schema:CreativeWork ;
    rdfs:label "Applied analytics through case studies using SAS and R." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1047959881> ; # Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques
    .

<http://www.worldcat.org/title/-/oclc/1047959881>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/1047959881> ; # Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques
    schema:dateModified "2019-08-01" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.