MARC details
000 -LEADER |
fixed length control field |
03344cam a22004098i 4500 |
001 - CONTROL NUMBER |
control field |
21897128 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220405162043.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210129s2021 flu 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2021001775 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780367609504 |
Qualifying information |
(hardback) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Cancelled/invalid ISBN |
9781003102656 |
Qualifying information |
(ebook) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
Indian Institute for Human Settlements-Bangalore |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
IIHS |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
001.42 HUA |
Edition number |
23 |
Item number |
017995 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Huang, Shuai |
Titles and other words associated with a name |
(Industrial engineer), |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Data analytics : |
Remainder of title |
a small data approach / |
Statement of responsibility, etc |
Shuai Huang & Houtao Deng. |
250 ## - EDITION STATEMENT |
Edition statement |
First edition. |
263 ## - PROJECTED PUBLICATION DATE |
Projected publication date |
2105 |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Boca Raton : |
Name of producer, publisher, distributor, manufacturer |
CRC Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
2021. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 257 pages : |
Other physical details |
illustrations (some color) ; |
Dimensions |
28 cm. |
336 ## - Content type term (R) |
Content type term (R) |
text |
Content type code (R) |
txt |
Source (NR) |
rdacontent |
337 ## - Media Type (R) |
Media type term (R) |
unmediated |
Media type code (R) |
n |
Source (NR) |
rdamedia |
338 ## - Carrier Type (R) |
Carrier type term (R) |
volume |
Carrier type code (R) |
nc |
Source (NR) |
rdacarrier |
500 ## - GENERAL NOTE |
General note |
Includes index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Abstraction -- Recognition -- Resonance -- Learning (I) -- Diagnosis -- Learning (II) -- Scalability : LASSO & PCA -- Pragmatism -- Synthesis : architecture & pipeline. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models. It has many small datasets to guide students to work out pencil solutions of the models and then compare with results obtained from established R packages. Also, as data science practice is a process that should be told as a story, in this book there are many course materials about exploratory data analysis, residual analysis, and flowcharts to develop and validate models and data pipelines. The main models covered in this book include linear regression, logistic regression, tree models and random forests, ensemble learning, sparse learning, principal component analysis, kernel methods including the support vector machine and kernel regression, and deep learning. Each chapter introduces two or three techniques. For each technique, the book highlights the intuition and rationale first, then shows how mathematics is used to articulate the intuition and formulate the learning problem. R is used to implement the techniques on both simulated and real-world dataset. Python code is also available at the book's website: http://dataanalyticsbook.info. Shuai Huang is an associate professor at the department of industrial & systems engineering at the university of Washington. He conducts interdisciplinary research in machine learning, data analytics, and applied operations research with applications on healthcare, manufacturing, and transportation areas. Houtao Deng is a data science researcher and practitioner. He developed several new decision tree methods such as inTrees. He has built data-driven products for forecasting, scheduling, pricing, recommendation, fraud detection, and image recognition"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Quantitative research. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Quantitative research |
General subdivision |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Python (Computer program language) |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Deng, Houtao, |
Relator term |
author. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Online version: |
Main entry heading |
Huang, Shuai (Industrial engineer). |
Title |
Data analytics |
Edition |
First edition. |
Place, publisher, and date of publication |
Boca Raton : CRC Press, 2021 |
International Standard Book Number |
9781003102656 |
Record control number |
(DLC) 2021001776 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |