LDR | | 05417cmm u2200613Mi 4500 |
001 | | 000000315194 |
003 | | OCoLC |
005 | | 20230525170136 |
006 | | m d |
007 | | cr |n|---||||| |
008 | | 171111s2017 enk o 000 0 eng d |
019 | |
▼a 1010777182
▼a 1016402901 |
020 | |
▼a 9781787287808 |
020 | |
▼a 1787287807 |
020 | |
▼z 1787284395 |
020 | |
▼z 9781787284395 |
035 | |
▼a 1647667
▼b (N$T) |
035 | |
▼a (OCoLC)1011164959
▼z (OCoLC)1010777182
▼z (OCoLC)1016402901 |
040 | |
▼a EBLCP
▼b eng
▼e pn
▼c EBLCP
▼d OCLCQ
▼d MERUC
▼d CHVBK
▼d OCLCO
▼d YDX
▼d COO
▼d OCLCF
▼d UOK
▼d OCLCQ
▼d N$T
▼d C6I
▼d 248032 |
049 | |
▼a MAIN |
050 | 4 |
▼a QA276.45.R3
▼b .B438 2017 |
072 | 7 |
▼a MAT
▼x 003000
▼2 bisacsh |
072 | 7 |
▼a MAT
▼x 029000
▼2 bisacsh |
082 | 14 |
▼a [E] |
100 | 1 |
▼a Bhatia, AshishSingh. |
245 | 10 |
▼a Machine Learning with R Cookbook - Second Edition :
▼b Analyze data and build predictive models.
▼h [electronic resource] |
250 | |
▼a 2nd ed. |
260 | |
▼a Birmingham :
▼b Packt Publishing,
▼c 2017. |
300 | |
▼a 1 online resource (564 pages) |
336 | |
▼a text
▼b txt
▼2 rdacontent |
337 | |
▼a computer
▼b c
▼2 rdamedia |
338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
500 | |
▼a ""Chapter 4: R and Statistics"" |
505 | 0 |
▼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"" |
505 | 8 |
▼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 ... "" |
505 | 8 |
▼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 ... "" |
505 | 8 |
▼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"" |
505 | 8 |
▼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"" |
520 | |
▼a Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code. |
588 | 0 |
▼a Print version record. |
590 | |
▼a Master record variable field(s) change: 072 - OCLC control number change |
650 | 0 |
▼a R. |
650 | 0 |
▼a Mathematical statistics
▼x Data processing. |
650 | 7 |
▼a Mathematical statistics
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst01012133 |
650 | 7 |
▼a MATHEMATICS / Applied.
▼2 bisacsh |
650 | 7 |
▼a MATHEMATICS / Probability & Statistics / General.
▼2 bisacsh |
655 | 4 |
▼a Electronic books. |
700 | 1 |
▼a Chiu, Yu-Wei (David) |
776 | 08 |
▼i Print version:
▼a Bhatia, AshishSingh.
▼t Machine Learning with R Cookbook - Second Edition : Analyze data and build predictive models.
▼d Birmingham : Packt Publishing, 짤2017
▼z 9781787284395 |
856 | 40 |
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1647667 |
938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL5112953 |
938 | |
▼a YBP Library Services
▼b YANK
▼n 14964459 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 1647667 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |