R : (Record no. 55303)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05988cam a2200601Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn953616408 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200827121626.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr unu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160715s2016 enka ob 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMI |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | UMI |
| Modifying agency | IDEBK |
| -- | OCLCF |
| -- | COO |
| -- | DEBSZ |
| -- | DEBBG |
| -- | FEM |
| -- | VT2 |
| -- | OCLCQ |
| -- | REB |
| -- | YDX |
| -- | N$T |
| -- | ZCU |
| -- | AGLDB |
| -- | IGB |
| 019 ## - | |
| -- | 952662350 |
| -- | 968117715 |
| -- | 969026576 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781786460486 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1786460483 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1786463504 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781786463500 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 480365520 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBBG |
| System control number | BV043969754 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 485802821 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | GBVCP |
| System control number | 882850490 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)953616408 |
| Canceled/invalid control number | (OCoLC)952662350 |
| -- | (OCoLC)968117715 |
| -- | (OCoLC)969026576 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | CL0500000762 |
| Source of stock number/acquisition | Safari Books Online |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA276.45.R3 |
| Item number | M67 2016 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 003000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 029000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50285/5133 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Moses, Edwin, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | R : |
| Remainder of title | data analysis and visualization : a course in five modules / |
| Statement of responsibility, etc. | course guide, Edwin Moses. |
| 246 34 - VARYING FORM OF TITLE | |
| Title proper/short title | R : |
| Remainder of title | data analysis and visualization : curated course |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Birmingham [United Kingdom] : |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2016] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (1 volume) : |
| Other physical details | illustrations |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Source | rda |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Master the art of building analytical models using R. About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with RWho This Book Is For This course is for data scientist or quantitative analyst who are looking at learning R and take advantage of its powerful analytical design framework. It's a seamless journey in becoming a full-stack R developer. What You Will Learn Describe and visualize the behavior of data and relationships between data Gain a thorough understanding of statistical reasoning and sampling Handle missing data gracefully using multiple imputation Create diverse types of bar charts using the default R functions Familiarize yourself with algorithms written in R for spatial data mining, text mining, and so on Understand relationships between market factors and their impact on your portfolio Harness the power of R to build machine learning algorithms with real-world data science applications Learn specialized machine learning techniques for text mining, big data, and moreIn Detail The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module! This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough understanding of statistical reasoning and sampling. Finally, you'll be able to put best practices into effect to make your job easier and facilitate reproducibility. The second place to explore is R Graphs, which will help you leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. You'll learn how to produce, customize, and publish advanced visualizations using this popular and powerful framework. With the third module, Learning Data Mining with R, 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. The Mastering R for Quantitative Finance module pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the module, you will be well-versed with various financial techniques using R and will be able to place good bets while making financial decisions. Finally, we'll look at the Machine Learning with R module. With this module, you'll discover all the analytical tools you need to gain insights from complex data and learn how to choose the correct algorithm for your specific needs. You'll also learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, and so on. Style and approach Learn data analysis, data visualization techniques, data mining, and machine learning all using R and also learn to build models in quantitative finance using this powerful language. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on online resource; title from digital title page (viewed on April 24, 2018). |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | eBooks on EBSCOhost |
| Provenance (VM) [OBSOLETE] | EBSCO eBook Subscription Academic Collection - Worldwide |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | R (Computer program language) |
| Authority record control number or standard number | http://id.loc.gov/authorities/subjects/sh2002004407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information visualization. |
| Authority record control number or standard number | http://id.loc.gov/authorities/subjects/sh2002000243 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information visualization. |
| Source of heading or term | fast |
| Authority record control number or standard number | (OCoLC)fst00973185 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | R (Computer program language) |
| Source of heading or term | fast |
| Authority record control number or standard number | (OCoLC)fst01086207 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MATHEMATICS / Applied |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MATHEMATICS / Probability & Statistics / General |
| Source of heading or term | bisacsh |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://libproxy.firstcity.edu.my:8443/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1259632">https://libproxy.firstcity.edu.my:8443/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1259632</a> |
| 938 ## - | |
| -- | ProQuest MyiLibrary Digital eBook Collection |
| -- | IDEB |
| -- | cis35061338 |
| 938 ## - | |
| -- | EBSCOhost |
| -- | EBSC |
| -- | 1259632 |
| 994 ## - | |
| -- | 92 |
| -- | MYFCU |
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