Machine learning using R: (Record no. 3881)
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000 -LEADER | |
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fixed length control field | 01846nam a22002297a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221220120553.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221122b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781484247624 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.31 |
Item number | RAM |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ramasubramanian, Karthik |
245 ## - TITLE STATEMENT | |
Title | Machine learning using R: |
Remainder of title | with time series and industry-based use cases in R |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | ApressĀ |
Place of publication, distribution, etc. | New York |
Date of publication, distribution, etc. | 2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxiv, 700 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 1999.00 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | About this book<br/>Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data.<br/><br/>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. 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 the images are available in color and hi-res as part of the code download.<br/><br/>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 this book makes it easy for someone to connect the dots. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | R (Computer program language) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Information visualization |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | TB1974 | 28-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 11/22/2022 | Technical Bureau India Pvt. Ltd. | 1399.30 | 1 | 006.31 RAM | 003721 | 04/06/2023 | 03/21/2023 | 1 | 1999.00 | 11/22/2022 | Book |