NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Machine learning for time series forecasting with Python / (Record no. 12762)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field on1226581333
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240523125543.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201212s2021 inu ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EBLCP
Language of cataloging eng
Description conventions pn
Transcribing agency EBLCP
Modifying agency N$T
-- DG1
-- OCLCO
-- YDX
-- OCLCF
-- TEFOD
-- SOE
-- ORMDA
-- DST
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-- OCLCQ
-- SFB
-- OCLCQ
-- CON
-- OCLCO
-- OCLCL
019 ## -
-- 1225976321
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119682394
Qualifying information (electronic bk. ;
-- oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119682398
Qualifying information (electronic bk. ;
-- oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119682370
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119682371
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119682387
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 111968238X
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1119682363
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119682363
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000068653666
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1226581333
Canceled/invalid control number (OCoLC)1225976321
037 ## - SOURCE OF ACQUISITION
Stock number 88AB7880-98BF-40F4-88D1-931A3A285250
Source of stock number/acquisition OverDrive, Inc.
Note http://www.overdrive.com
037 ## - SOURCE OF ACQUISITION
Stock number 9781119682363
Source of stock number/acquisition O'Reilly Media
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lazzeri, Francesca.
245 10 - TITLE STATEMENT
Title Machine learning for time series forecasting with Python /
Statement of responsibility, etc. Francesca Lazzeri.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Indianapolis :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (227 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Overview of Time Series Forecasting -- How to Design an End-to-End Time Series Forecasting Solution on the Cloud -- Time Series Data Preparation -- Introduction to Autoregressive and Automated Methods for Time Series Forecasting -- Introduction to Neural Networks for Time Series Forecasting -- Model Deployment for Time Series Forecasting.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
520 ## - SUMMARY, ETC.
Summary, etc. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models' performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.
590 ## - LOCAL NOTE (RLIN)
Local note John Wiley and Sons
Provenance (VM) [OBSOLETE] Wiley Online Library: Complete oBooks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Apprentissage automatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Langage de programmation)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
Source of heading or term fast
758 ## - RESOURCE IDENTIFIER
Relationship information has work:
Label Machine learning for time series forecasting with Python (Text)
Real World Object URI https://id.oclc.org/worldcat/entity/E39PCFQ7g6wJTTDMYFrwWMxpbm
Relationship https://id.oclc.org/worldcat/ontology/hasWork
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Lazzeri, Francesca.
Title Machine Learning for Time Series Forecasting with Python.
Place, publisher, and date of publication Newark : John Wiley & Sons, Incorporated, �2020
International Standard Book Number 9781119682363
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119682394">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119682394</a>
938 ## -
-- ProQuest Ebook Central
-- EBLB
-- EBL6420045
938 ## -
-- EBSCOhost
-- EBSC
-- 2698476
938 ## -
-- YBP Library Services
-- YANK
-- 16725705
938 ## -
-- YBP Library Services
-- YANK
-- 301786507
994 ## -
-- 92
-- INLUM

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