MIU

Advanced Data Science and Analytics with Python / (Record no. 14105)

MARC details
000 -LEADER
fixed length control field 02771cam a2200397 i 4500
001 - CONTROL NUMBER
control field M17010
003 - CONTROL NUMBER IDENTIFIER
control field EG-CaMIU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211003133114.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200226s2020 flua f b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019055620
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138315068
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429446610
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780429446610
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency EG-CaMIU
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
Item number .R637 2020
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 21
Item number R.J. A 2020
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rogel-Salazar, Jesus,
Relator term author.
9 (RLIN) 21761
245 10 - TITLE STATEMENT
Title Advanced Data Science and Analytics with Python /
Statement of responsibility, etc Jesús Rogel-Salazar.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2005
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 383 pages :
Other physical details illustrations ;
Dimensions 23 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
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC data mining & knowledge discovery series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow up from the topics discuss in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications. The book can be read independently from the previous volume and each of the chapters in this volume is sufficiently independent from the others providing flexibility for the reader. Each of the topics addressed in the book tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to the book. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered in the book. The book discusses the need to develop data products and tackles the subject of bringing models to their intended audiences. In this case literally to the users's fingertips in the form of an iPhone app"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
9 (RLIN) 3661
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Databases.
9 (RLIN) 11589
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
Item type Books
Suppress in OPAC 006.312 R.J. A 2020
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
d CS
Holdings
Date last seen Total Checkouts Full call number Barcode Cost, replacement price Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Current library Shelving location Date acquired Source of acquisition
12/09/2022   006.312 R.J. A 2020 00018709 1229.25 19/08/2021 Books   Dewey Decimal Classification       Main Library Main Library Main Stacks 19/08/2021 Infinity Knowledge For Distribution

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