Machine Learning in Python : (Record no. 59502)

000 -LEADER
fixed length control field 03619cam a2200529Ii 4500
001 - CONTROL NUMBER
control field ocn889736073
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200207144856.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140827t20152015inua b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2015930541
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBB513117
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 017037089
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118961742
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1118961749
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781118961759
Qualifying information (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781118961766
Qualifying information (ebook)
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000054834129
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier UKMGB
System control number 017037089
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)889736073
Canceled/invalid control number (OCoLC)909245561
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition John Wiley & Sons Inc, Order Processing Dept 432 Elizabeth Ave, Somerset, NJ, USA, 08873
Note SAN 200-2272
040 ## - CATALOGING SOURCE
Original cataloging agency BTCTA
Language of cataloging eng
Transcribing agency BTCTA
Modifying agency BDX
-- JRZ
-- YDXCP
-- CDX
-- OCLCF
-- NYP
-- FJD
-- OCLCQ
-- VRC
-- I8M
-- FIE
-- SFR
-- OCLCQ
-- UKMGB
-- DLC
-- CNMTR
-- OCLCQ
-- CNR
049 ## - LOCAL HOLDINGS (OCLC)
Holding library CNRM
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .B69 2015
055 #3 - CLASSIFICATION NUMBERS ASSIGNED IN CANADA
Classification number Q325.5
Item number .B695 2015eb
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bowles, Michael,
Relator term author.
245 10 - TITLE STATEMENT
Title Machine Learning in Python :
Remainder of title essential techniques for predictive analysis /
Statement of responsibility, etc. Michael Bowles.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Indianapolis, IN :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons, Inc.,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice 2015
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 326 pages :
Other physical details illustrations ;
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type term text
Content type code txt
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
520 ## - SUMMARY, ETC.
Summary, etc. 'Machine Learning in Python' shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language.--
Assigning source Provided by publisher.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
Source of heading or term fast
Authority record control number (OCoLC)fst01004795
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
Source of heading or term fast
Authority record control number (OCoLC)fst01084736
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type BOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
          NCAR Library NCAR Library Mesa Lab 02/07/2020 Q325.5 .B69 2015 50583020009084 02/07/2020 02/07/2020 BOOK

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