Machine Learning Using R [electronic resource] / (Record no. 625959)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02935nam a22004575i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250930142236.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180322s2017 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484223345 |
| 9 | 978-1-4842-2334-5 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4842-2334-5 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (DE-He213)978-1-4842-2334-5 |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201806061504 |
| Level of effort used to assign nonsubject heading access points | fati |
| Level of effort used to assign subject headings | 201803281135 |
| Level of effort used to assign classification | rasyilla |
| y | 03-22-2018 |
| z | hafiz |
| w | SpringerNature_Books_MARC21_20180201_025518.old |
| x | 1 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA75.5-76.95 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMA |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM014000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM018000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006 |
| Edition information | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ramasubramanian, Karthik. |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Machine Learning Using R [electronic resource] / |
| Statement of responsibility, etc. | by Karthik Ramasubramanian, Abhishek Singh. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Berkeley, CA : |
| Name of producer, publisher, distributor, manufacturer | Apress : |
| -- | Imprint: Apress, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1online resource (XXIII, 566 pages) ; |
| i | llustrations. |
| 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 |
| Encoding format | |
| Source | rda |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data. This new paradigm of teaching Machine Learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in Blockchain and Capitalism makes it easy for someone to connect the dots. For every Machine Learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. In the end, readers will learn some of the latest technological advancements in building a scalable machine learning model with Big Data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Programming languages (Electronic computers). |
| 9 (RLIN) | 60777 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Singh, Abhishek. |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer e-books |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484223338 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://doi.org/10.1007/978-1-4842-2334-5">https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://doi.org/10.1007/978-1-4842-2334-5</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b1657509x |
| b | 2023-02-08 |
| c | 2019-11-12 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Suppress in OPAC | No |
| 914 ## - VTLS Number | |
| VTLS Number | vtls003632583 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Library | |
| Operator's initials, OID (RLIN) | 2018-09-03 |
| Cataloger's initials, CIN (RLIN) | m |
| Material Type (Sierra) | E-Book |
| Language | English |
| Country | |
| -- | 0 |
| -- | .b1657509x |
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