Advanced Forecasting with Python With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR

Name: Advanced Forecasting with Python
Author: Joos Korstanje

Auteur: Joos Korstanje

Taal: Engels

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Auteur: Joos Korstanje

Engels
Paperback
9781484271490
03 juli 2021
296 pagina's

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Samenvatting

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model.

Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It concludes with reflections on model selection such as benchmark scores vs. understandability of models vs. compute time, and automated retraining and updating of models.

Each of the models presented in this book is covered in depth, with an intuitive simple explanation of the model, amathematical transcription of the idea, and Python code that applies the model to an example data set.

Reading this book will add a competitive edge to your current forecasting skillset. The book is also adapted to those who have recently started working on forecasting tasks and are looking for an exhaustive book that allows them to start with traditional models and gradually move into more and more advanced models.

You will:

Carry out forecasting with Python
Mathematically and intuitively understand traditional forecasting models and state-of-the-art machine learning techniques
Gain the basics of forecasting and machine learning, including evaluation of models, cross-validation, and back testing
Select the right model for the right use case

Productspecificaties

Inhoud

Taal: en
Bindwijze: Paperback
Oorspronkelijke releasedatum: 03 juli 2021
Aantal pagina's: 296

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Hoofdauteur: Joos Korstanje
Hoofduitgeverij: Apress

Overige kenmerken

Editie: 1st ed.
Product breedte: 178 mm
Product lengte: 254 mm
Studieboek: Ja
Verpakking breedte: 174 mm
Verpakking hoogte: 22 mm
Verpakking lengte: 252 mm
Verpakkingsgewicht: 803 g

EAN

EAN: 9781484271490

Je vindt dit artikel in

Categorieën: Computers & Informatica

Computertechnologie

Programmeren

Kunstmatige intelligentie

Programmeertalen

Machine learning

Boeken
Boek, ebook of luisterboek?: Boek
Taal: Engels
Beschikbaarheid: Leverbaar
Studieboek of algemeen: Studieboeken

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