49,69 €
Learning Data Mining with R
Learning Data Mining with R
  • Išparduota
Learning Data Mining with R
Learning Data Mining with R
El. knyga:
49,69 €
Being able to deal with the array of problems that you may encounter during complex statistical projects can be difficult. If you have only a basic knowledge of R, this book will provide you with the skills and knowledge to successfully create and customize the most popular data mining algorithms to overcome these difficulties.You will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R program…
  • Leidėjas:
  • Metai: 2015
  • Puslapiai: 314
  • ISBN: 9781783982110
  • ISBN-10: 178398211X
  • ISBN-13: 9781783982110
  • Formatas: ACSM ?
  • Kalba: Anglų

Learning Data Mining with R (el. knyga) (skaityta knyga) | knygos.lt

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Being able to deal with the array of problems that you may encounter during complex statistical projects can be difficult. If you have only a basic knowledge of R, this book will provide you with the skills and knowledge to successfully create and customize the most popular data mining algorithms to overcome these difficulties.You will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. Discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on RHadoop projects. You will finish this book feeling confident in your ability to know which data mining algorithm to apply in any situation.

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  • Autorius: Bater Makhabel
  • Leidėjas:
  • Metai: 2015
  • Puslapiai: 314
  • ISBN: 9781783982110
  • ISBN-10: 178398211X
  • ISBN-13: 9781783982110
  • Formatas: ACSM ?
  • Kalba: Anglų

Being able to deal with the array of problems that you may encounter during complex statistical projects can be difficult. If you have only a basic knowledge of R, this book will provide you with the skills and knowledge to successfully create and customize the most popular data mining algorithms to overcome these difficulties.You will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. Discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on RHadoop projects. You will finish this book feeling confident in your ability to know which data mining algorithm to apply in any situation.

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