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▼a 1010777182
▼a 1016402901
▼a 9781787287808
▼a 1787287807
▼z 1787284395
▼z 9781787284395
▼a 1647667
▼b (N$T)
▼a (OCoLC)1011164959
▼z (OCoLC)1010777182
▼z (OCoLC)1016402901
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▼b eng
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▼d OCLCQ
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▼d 248023
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▼a MAIN
▼a QA276.45.R3
▼b .B438 2017
▼a [E]
▼a Bhatia, AshishSingh.
▼a Machine Learning with R Cookbook - Second Edition
▼h [electronic resource]:
▼b Analyze data and build predictive models.
▼a 2nd ed.
▼a Birmingham:
▼b Packt Publishing,
▼c 2017.
▼a 1 online resource (564 pages).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a ""Chapter 4: R and Statistics""
▼a ""Cover""; ""Copyright""; ""Credits""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Customer Feedback""; ""Table of Contents""; ""Preface""; ""Chapter 1: Practical Machine Learning with R""; ""Introduction""; ""Downloading and installing R""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Downloading and installing RStudio""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Installing and loading packages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""
▼a ""Understanding of basic data structures""""Data types""; ""Data structures""; ""Vectors""; ""How to do it ... ""; ""How it works ... ""; ""Lists""; ""How to do it ... ""; ""How it works ... ""; ""Array""; ""How to do it ... ""; ""How it works ... ""; ""Matrix""; ""How to do it ... ""; ""DataFrame""; ""How to do it ... ""; ""Basic commands for subsetting""; ""How to do it ... ""; ""Data input""; ""Reading and writing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Manipulating data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""
▼a ""Applying basic statistics""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Visualizing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Getting a dataset for machine learning""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Chapter 2: Data Exploration with Air Quality Datasets""; ""Introduction""; ""Using air quality dataset""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Converting attributes to factor""; ""Getting ready""; ""How to do it ... ""
▼a ""How it works ... """"There's more ... ""; ""Detecting missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Imputing missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Exploring and visualizing data""; ""Getting ready""; ""How to do it ... ""; ""Predicting values from datasets""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Chapter 3: Analyzing Time Series Data""; ""Introduction""; ""Looking at time series data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""
▼a ""Plotting and forecasting time series data""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Extracting, subsetting, merging, filling, and padding""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Successive differences and moving averages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Exponential smoothing""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Plotting the autocorrelation function""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""
▼a Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code.
▼a Print version record.
▼a R.
▼a Mathematical statistics
▼x Data processing.
▼a Chiu, Yu-Wei (David)
▼i Print version:
▼a Bhatia, AshishSingh.
▼t Machine Learning with R Cookbook - Second Edition : Analyze data and build predictive models.
▼d Birmingham : Packt Publishing, ©2017,
▼z 9781787284395
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1647667
▼a 강리원
▼a eBook
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781787287808 |
| ISBN : | 1787287807 |
| ISBN : | |
| ISBN : | |
| 개인저자 : | Bhatia, AshishSingh. |
| 서명/저자사항 : | Machine Learning with R Cookbook - Second Edition [electronic resource]: Analyze data and build predictive models. |
| 판사항 : | 2nd ed. |
| 발행사항 : | Birmingham: Packt Publishing, 2017. |
| 형태사항 : | 1 online resource (564 pages). |
| 일반주기 : | ""Chapter 4: R and Statistics"" |
| 내용주기 : | ""Cover""; ""Copyright""; ""Credits""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Customer Feedback""; ""Table of Contents""; ""Preface""; ""Chapter 1: Practical Machine Learning with R""; ""Introduction""; ""Downloading and installing R""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Downloading and installing RStudio""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Installing and loading packages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" |
| 내용주기 : | ""Understanding of basic data structures""""Data types""; ""Data structures""; ""Vectors""; ""How to do it ... ""; ""How it works ... ""; ""Lists""; ""How to do it ... ""; ""How it works ... ""; ""Array""; ""How to do it ... ""; ""How it works ... ""; ""Matrix""; ""How to do it ... ""; ""DataFrame""; ""How to do it ... ""; ""Basic commands for subsetting""; ""How to do it ... ""; ""Data input""; ""Reading and writing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Manipulating data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... "" |
| 내용주기 : | ""Applying basic statistics""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Visualizing data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Getting a dataset for machine learning""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Chapter 2: Data Exploration with Air Quality Datasets""; ""Introduction""; ""Using air quality dataset""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Converting attributes to factor""; ""Getting ready""; ""How to do it ... "" |
| 내용주기 : | ""How it works ... """"There's more ... ""; ""Detecting missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""There's more ... ""; ""Imputing missing values""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Exploring and visualizing data""; ""Getting ready""; ""How to do it ... ""; ""Predicting values from datasets""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""Chapter 3: Analyzing Time Series Data""; ""Introduction""; ""Looking at time series data""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" |
| 내용주기 : | ""Plotting and forecasting time series data""""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Extracting, subsetting, merging, filling, and padding""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Successive differences and moving averages""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Exponential smoothing""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also""; ""Plotting the autocorrelation function""; ""Getting ready""; ""How to do it ... ""; ""How it works ... ""; ""See also"" |
| 요약 : | Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code. |
| 일반주제명 : | R. -- |
| 일반주제명 : | Mathematical statistics -- Data processing. -- |
| 개인저자 : | Chiu, Yu-Wei (David) |
| 기타형태 저록 : | Print version: Bhatia, AshishSingh. Machine Learning with R Cookbook - Second Edition : Analyze data and build predictive models. Birmingham : Packt Publishing, ©2017, 9781787284395 |
| 언어 | 영어 |
| URL : |
|---|
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