Da: medimops, Berlin, Germania
EUR 32,42
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Aggiungi al carrelloCondizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 51,68
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Packt Publishing 10/29/2021, 2021
ISBN 10: 1801819629 ISBN 13: 9781801819626
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 56,19
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Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2021
ISBN 10: 1801819629 ISBN 13: 9781801819626
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 64,02
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Aggiungi al carrelloPaperback. Condizione: New. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2021
ISBN 10: 1801819629 ISBN 13: 9781801819626
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 67,08
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Aggiungi al carrelloPaperback. Condizione: New. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. pp. 370.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 53,97
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 61,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2021
ISBN 10: 1801819629 ISBN 13: 9781801819626
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 66,19
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Aggiungi al carrelloPaperback. Condizione: New. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Lingua: Inglese
Editore: Packt Publishing Limited, GB, 2021
ISBN 10: 1801819629 ISBN 13: 9781801819626
Da: Rarewaves.com UK, London, Regno Unito
EUR 62,60
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Aggiungi al carrelloPaperback. Condizione: New. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 58,22
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 59,64
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Majestic Books, Hounslow, Regno Unito
EUR 57,63
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 370.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,91
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 370.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 65,73
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: moluna, Greven, Germania
EUR 68,77
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.Über den Autor.
Da: preigu, Osnabrück, Germania
EUR 71,35
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning for Time-Series with Python | Forecast, predict, and detect anomalies with state-of-the-art machine learning methods | Ben Auffarth | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Packt Publishing | EAN 9781801819626 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 81,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features:Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description:Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.Machine Learning for Time-Series with Python explains the theory behind several useful models and guides you in matching the right model to the right problem. The book also includes real-world case studies covering weather, traffic, biking, and stock market data.By the end of this book, you will be proficient in effectively analyzing time-series datasets with machine learning principles.What You Will Learn:Understand the main classes of time-series and learn how to detect outliers and patternsChoose the right method to solve time-series problemsCharacterize seasonal and correlation patterns through autocorrelation and statistical techniquesGet to grips with time-series data visualizationUnderstand classical time-series models like ARMA and ARIMAImplement deep learning models like Gaussian processes and transformers and state-of-the-art machine learning modelsBecome familiar with many libraries like prophet, xgboost, and TensorFlowWho this book is for:This book is ideal for data analysts, data scientists, and Python developers who are looking to perform time-series analysis to effectively predict outcomes. Basic knowledge of the Python language is essential. Familiarity with statistics is desirable.