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001			on1226581333
003			OCoLC
005			20240523125543.0
006			m o d
007			cr cnu---unuuu
008			201212s2021 inu ob 001 0 eng d
040			_aEBLCP _beng _epn _cEBLCP _dN$T _dDG1 _dOCLCO _dYDX _dOCLCF _dTEFOD _dSOE _dORMDA _dDST _dOCLCO _dOCLCQ _dSFB _dOCLCQ _dCON _dOCLCO _dOCLCL
019			_a1225976321
020			_a9781119682394 _q(electronic bk. ; _qoBook)
020			_a1119682398 _q(electronic bk. ; _qoBook)
020			_a9781119682370 _q(electronic bk.)
020			_a1119682371 _q(electronic bk.)
020			_a9781119682387 _q(electronic bk.)
020			_a111968238X _q(electronic bk.)
020			_z1119682363
020			_z9781119682363
029	1		_aAU@ _b000068653666
035			_a(OCoLC)1226581333 _z(OCoLC)1225976321
037			_a88AB7880-98BF-40F4-88D1-931A3A285250 _bOverDrive, Inc. _nhttp://www.overdrive.com
037			_a9781119682363 _bO'Reilly Media
050		4	_aQ325.5
082	0	4	_a006.31
049			_aMAIN
100	1		_aLazzeri, Francesca.
245	1	0	_aMachine learning for time series forecasting with Python / _cFrancesca Lazzeri.
260			_aIndianapolis : _bWiley, _c2021.
300			_a1 online resource (227 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aOverview 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			_aIncludes bibliographical references and index.
588	0		_aPrint version record.
520			_aLearn 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			_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks
650		0	_aMachine learning.
650		0	_aPython (Computer program language)
650		6	_aApprentissage automatique.
650		6	_aPython (Langage de programmation)
650		7	_aMachine learning _2fast
650		7	_aPython (Computer program language) _2fast
758			_ihas work: _aMachine learning for time series forecasting with Python (Text) _1https://id.oclc.org/worldcat/entity/E39PCFQ7g6wJTTDMYFrwWMxpbm _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aLazzeri, Francesca. _tMachine Learning for Time Series Forecasting with Python. _dNewark : John Wiley & Sons, Incorporated, �2020 _z9781119682363
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119682394
938			_aProQuest Ebook Central _bEBLB _nEBL6420045
938			_aEBSCOhost _bEBSC _n2698476
938			_aYBP Library Services _bYANK _n16725705
938			_aYBP Library Services _bYANK _n301786507
994			_a92 _bINLUM
999			_c12762 _d12762