rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Applied Analytics through Case Studies Using SAS and R
    sub title: Implementing Predictive Models and Machine Learning Techniques
  name:
    name part: Gupta, Deepti.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 404 p. 99 illus. online resource.
  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. 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. .
  table of contents: Chapter 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. .
  note: by Deepti Gupta.
  subject:
    topic: Big data
  subject:
    topic: Open source software
  subject:
    topic: Computer programming
  subject:
    topic: Mathematical statistics
  subject:
    topic: Business mathematics
  subject:
    topic: Big Data
  subject:
    topic: Open Source
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Business Mathematics
  classification: QA76.9.B45
  classification: 005.7
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484235256
  identifier: https://doi.org/10.1007/978-1-4842-3525-6
  record info:
    record creation date: 180803
    record change date: 20191023161635.0
    record identifier: 978-1-4842-3525-6