MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherApress L. P.
ISBN-10148423524X
ISBN-139781484235249
eBay Product ID (ePID)17038379919
Product Key Features
Number of PagesXx, 404 Pages
LanguageEnglish
Publication NameApplied Analytics Through Case Studies Using SAS and R : Implementing Predictive Models and Machine Learning Techniques
SubjectProgramming Languages / General, Probability & Statistics / General, Programming / Open Source, Databases / General
Publication Year2018
TypeTextbook
AuthorDeepti Gupta
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Weight28.3 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal338.7
Table Of ContentChapter 1: Role of Analytics in Various Industries.- Chapter 2: Banking Case Study with Analytical Solutions.- Chapter 3: Retail Case Study with Analytical Solutions.- Chapter 4: Telecommunication Case Study with Analytical Solutions.- Chapter 5: Healthcare Case Study with Analytical Solutions.- Chapter 6: Airline Case Study with Analytical Solutions.- Chapter 7: FMCG Case Study with Analytical Solutions.
SynopsisPractical and hands-on approach in building the predictive model and machine learning technique using SAS & R Covers real world business case studies from 6 industrial domains Application of analytical approach to industrial business problems, 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.
LC Classification NumberQA76.9.B45
