Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Stavka #: 108807314

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Stavka #: 108807314

€ 63

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from UK

Na lageru
UK Uvezeno iz UK trgovine

QTY:

Naručite sada i dobijte ga oko Subota, Listopad 24
Our Top Logistics Partners
  • fedex
  • dhl
Prikaži više
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
visa payment
mastercard payment

Detalji o proizvodu

Shop Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection online at a best price in Croatia. 1805129236
  • Build real-world Artificial Intelligence applications with Time Series data and Deep LearningTake your deep learning skills to the next level by mastering PyTorch with tens of Python recipesSolve forecasting problems and predict the future using advanced neural network architectures in PyTorchKey FeaturesLearn how to train accurate forecasting model using neural networks and real-world time seriesBuild advanced deep neural network architectures using PyTorchTackle several time series tasks, such as forecasting, classification, hierarchical forecasting, and anomaly detectionBook DescriptionMany real-world systems are captured through the lens of time series. The analysis and forecasting of time series has thus become a key aspect of several organizations. Deep learning is the hottest Artificial Intelligence technology. It leverages large amounts of data to build intricate and accurate forecasting models.This book is a comprehensive cookbook that guides you through the development of deep learning models for time series data using PyTorch. We start from the basic concepts behind time series analysis and the PyTorch framework. Then, we dive into the details of several time series problems, including forecasting, classification, anomaly detection, and hierarchical time series forecasting. You'll learn how to tackle these tasks with a set of code recipes.By the end of this book, you'll have a solid understanding of time series data problems and how to tackle them using deep learning based on PyTorch.What you will learnUnderstand main time series analysis concepts and how to apply them using pandasLearn about PyTorch and how to use it to build deep learning modelsExplore how to transform a time series for training transformers and other advanced deep neural networksUnderstand how to deal with various time series characteristics, such as trend, seasonality, or non-constant varianceTackle different kinds of forecasting problems, involving univariate, multivariate, or hierarchical time seriesUnderstand how to apply residual and convolutional neural networks for time series classification problemsLearn how to solve time series anomaly detection problems using auto-encoders and Generative Adversarial NetworksWho This Book Is ForIf you are a machine learning enthusiast or someone who wants to learn more about building forecasting applications using deep learning, this book is for you. In order to learn from this book, you should have basic knowledge of Python and machine learning.Table of ContentsGetting Started with Time SeriesGetting Started with kerasUnivariate Time Series ForecastingAdvanced Forecasting ProblemsAdvanced Deep Learning Architectures for Time Series ForecastingProbabilistic Time Series ForecastingDeep Learning for Time Series ClassificationDeep Learning for Time Series Anomaly Detection
Publisher Packt Publishing
Publication date 29 Mar. 2024
Language English
Print length 304 pages
ISBN-10 1805129236
ISBN-13 978-1805129233
Item weight 476 g
Dimensions 19.05 x 1.57 x 23.5 cm

OPIS PROIZVODA

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Imate li pitanja? Cavrljajte s nama

Pitanja i odgovori kupaca

  • pitanje: Kako kupovati Deep Learning for Time Series Cookbook: Use PyTorch online od Ubuya?

    odgovor: Jednostavno je kupovati Deep Learning for Time Series Cookbook: Use PyTorch online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju.
  • pitanje: Je li Deep Learning for Time Series Cookbook: Use PyTorch dostupan za online kupnju u Croatia?

    odgovor: Da, na Ubuyu Croatia ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Deep Learning for Time Series Cookbook: Use PyTorch nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave.
  • pitanje: Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?

    odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.

Higher Education Editorial Review

Nije pronađena urednička recenzija

Customer Reviews & Ratings

3.8
11 ocjene kupaca
  • 5 zvjezdica
    57%
  • 4 zvjezdica
    12%
  • 3 zvjezdica
    0%
  • 2 zvjezdica
    20%
  • 1 zvjezdica
    11%

Recenzirajte ovaj proizvod

Podijelite svoje misli s drugim kupcima

Product Price History

Važne informacije

  • Ograničenja: imajte na umu da jamstvo možda ne vrijedi za proizvode koji se dostavljaju u inozemstvo; servis možda neće biti dostupan; priručnici proizvoda, upute i sigurnosna upozorenja možda nisu na jeziku zemlje odredišta; proizvodi (i prateći materijali) možda nisu u skladu sa standardima, specifikacijama i zahtjevima za označavanje zemlje odredišta; proizvod možda nije usklađen s naponom struje i drugim električnim standardima (zbog čega će možda trebati adapter ili pretvarač). Primatelj je odgovoran za provjeru može li proizvod prema važećim zakonima biti uvezen u zemlju odredišta. Kad naručujete od Ubuya ili njegovih partnera, primatelj se smatra registriranim uvoznikom i mora se pridržavati svih zakona i propisa zemlje odredišta.
  • Svi proizvodi navedeni na Ubuyu nisu za prodaju, jer je Ubuy globalna tražilica. Proizvodi podliježu propisima o izvozu i trgovini.