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Introduction to machine learning with Python : (Record no. 76041)

000 -LEADER
fixed length control field 02850nam a22004817a 4500
001 - CONTROL NUMBER
control field 0075129
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211021111335.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170710t20162017caua 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2017394288
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781449369415
International Standard Book Number 1449369413
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn895728667
040 ## - CATALOGING SOURCE
Original cataloging agency BTCTA
Language of cataloging eng
Transcribing agency BTCTA
Description conventions rda
Modifying agency YDXCP
-- BDX
-- OCLCQ
-- JBL
-- APL
-- TEF
-- OCLCF
-- AHS
-- CHVBK
-- OCLCO
-- MVP
-- FIE
-- I8M
-- CDN
-- OCLCQ
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.73.P98
Item number M85 2016
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Edition number 23
Item number MUI
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name M�uller, Andreas C.,
Relator term author.
9 (RLIN) 29187
245 10 - TITLE STATEMENT
Title Introduction to machine learning with Python :
Remainder of title a guide for data scientists /
Statement of responsibility, etc. Andreas C. M�uller and Sarah Guido.
246 30 - VARYING FORM OF TITLE
Title proper/short title Machine learning with Python
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Sebastopol, CA :
Name of producer, publisher, distributor, manufacturer O'Reilly Media, Inc.,
Date of production, publication, distribution, manufacture, or copyright notice 2016.
Date of production, publication, distribution, manufacture, or copyright notice �2017
300 ## - PHYSICAL DESCRIPTION
Extent xii, 376 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
Content type term still image
Content type code sti
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up.
520 ## - SUMMARY, ETC.
Summary, etc. Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas M�uller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. --
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
9 (RLIN) 37691
Topical term or geographic name as entry element Programming languages (Electronic computers)
9 (RLIN) 37692
Topical term or geographic name as entry element Data mining.
9 (RLIN) 37693
Topical term or geographic name as entry element Data mining.
Source of heading or term fast
Authority record control number (OCoLC)fst00887946
9 (RLIN) 37693
Topical term or geographic name as entry element Programming languages (Electronic computers)
Source of heading or term fast
Authority record control number (OCoLC)fst01078704
9 (RLIN) 37692
Topical term or geographic name as entry element Python (Computer program language)
Source of heading or term fast
Authority record control number (OCoLC)fst01084736
9 (RLIN) 37691
Topical term or geographic name as entry element Maschinelles Lernen
Source of heading or term gnd
9 (RLIN) 25963
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Guido, Sarah,
Relator term author.
9 (RLIN) 26717
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c copycat
d 2
e ncip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Checked out Date last seen Date last checked out Copy number Price effective from Koha item type
          Central Library, SUST Central Library, SUST General Stacks 2021-10-21 1 005.133 MUI 0075129 2022-02-20 2021-11-22 2021-11-22 1 2021-10-21 Books

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Update on 12 March, 2019
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