paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Paperback. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
paperback. Condizione: Very Good. Very good condition, pages are clean and free of markings, minimal wear to cover, has dust jacket where applicable, ships same or next business day.
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Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 28,75
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 39,69
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Aggiungi al carrelloCondizione: New.
Editore: Packt Publishing 3/31/2023, 2023
ISBN 10: 1837630410 ISBN 13: 9781837630417
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Forecasting Time Series Data with Prophet - Second Edition: Build, improve, and optimize time series forecasting models using Meta's advanced forecast. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 44,29
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 45,34
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 45,51
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Da: California Books, Miami, FL, U.S.A.
EUR 52,26
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 45,12
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Da: diakonia secondhand, München, Germania
EUR 26,00
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Aggiungi al carrelloCondizione: Gut. 270 S. Einband mit leichten Gebrauchsspuren, an Ecken leicht berieben. Seiten sauber. 383 Sprache: Englisch Gewicht in Gramm: 520 Taschenbuch, Maße: 23.5 cm x 19.05 cm x 1.45 cm.
Da: Chiron Media, Wallingford, Regno Unito
EUR 50,09
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Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,68
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Condizione: New.
EUR 60,80
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Aggiungi al carrelloCondizione: New. This book will help you get to grips with the task of time series forecasting using the leading open source forecasting tool available to the public, Facebook Prophet. You will learn how to implement the advanced features of Prophet to build forecast models.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 50,03
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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EUR 46,17
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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: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 57,44
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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 53,55
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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 57,28
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 270.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 52,03
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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 526.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 60,22
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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 222.
Da: Majestic Books, Hounslow, Regno Unito
EUR 80,51
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 82,04
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 60,72
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using PythonPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Explore Prophet, the open source forecasting tool developed at Meta, to improve your forecastsCreate a forecast and run diagnostics to understand forecast qualityFine-tune models to achieve high performance and report this performance with concrete statisticsBook Description:Forecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community.You'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models in production.By the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.What You Will Learn:Understand the mathematics behind Prophet's modelsBuild practical forecasting models from real datasets using PythonUnderstand the different modes of growth that time series often exhibitDiscover how to identify and deal with outliers in time series dataFind out how to control uncertainty intervals to provide percent confidence in your forecastsProductionalize your Prophet models to scale your work faster and more efficientlyWho this book is for:This book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.
Da: preigu, Osnabrück, Germania
EUR 65,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Forecasting Time Series Data with Facebook Prophet | Build, improve, and optimize time series forecasting models using the advanced forecasting tool | Greg Rafferty | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Packt Publishing | EAN 9781800568532 | 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 75,28
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional regressors using PythonKey FeaturesLearn how to use the open-source forecasting tool Facebook Prophet to improve your forecastsBuild a forecast and run diagnostics to understand forecast qualityFine-tune models to achieve high performance, and report that performance with concrete statisticsBook DescriptionProphet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code.You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your fi rst model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments.By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code.What You Will LearnGain an understanding of time series forecasting, including its history, development, and usesUnderstand how to install Prophet and its dependenciesBuild practical forecasting models from real datasets using PythonUnderstand the Fourier series and learn how it models seasonalityDecide when to use additive and when to use multiplicative seasonalityDiscover how to identify and deal with outliers in time series dataRun diagnostics to evaluate and compare the performance of your modelsWho this Book is forThis book is for data scientists, data analysts, machine learning engineers, software engineers, project managers, and business managers who want to build time series forecasts in Python. Working knowledge of Python and a basic understanding of forecasting principles and practices will be useful to apply the concepts covered in this book more easily.
Da: preigu, Osnabrück, Germania
EUR 81,10
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Forecasting Time Series Data with Prophet - Second Edition | Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool | Greg Rafferty | Taschenbuch | Englisch | 2023 | Packt Publishing | EAN 9781837630417 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.