Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
genuine image
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Unlock the potential of time series data with deep learning expertise using PyTorch and Python.
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
Articolo #: 108807314

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

76% degli intervistati lo consiglierebbe a un amico

Articolo #: 108807314

€ 75

Dettagli del prezzo

Escluse spese di spedizione e doganali ( Le spese di spedizione e doganali saranno calcolate al momento del pagamento )

*Tutti gli articoli verranno importati da Regno Unito

Disponibile
Regno Unito Importato dal negozio UK

Qtà:

Ordina subito e ricevilo entro Sabato, Ottobre 24
Transazione sicuraTransazione sicura

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

I nostri principali partner logistici
  • fedex
  • dhl
Unlock the potential of time series data with deep learning expertise using PyTorch and Python.
Mostra di più
fast shipping

Consegna
veloce

free return

Reso
gratuito*

Imballaggio sicuro

Imballaggio sicuro

Prodotti originali al 100%

Prodotti originali al 100%

pci-dss

Conformità PCI DSS

iso certified

Certificazione ISO 27001

paypal payment
visa payment
mastercard payment

Cosa salta all'occhio

Comprehensive Recipes
Offers practical, step-by-step recipes using PyTorch specifically for time series tasks, allowing readers to quickly apply deep learning techniques to their projects without getting lost in theory.
Diverse Applications
Covers a variety of applications including forecasting, classification, and anomaly detection, making it a versatile resource for data scientists and analysts in multiple industries eager to utilize time series data.
Hands-On Learning
Encourages a hands-on approach with real-world datasets, enhancing the learning experience for readers by bridging the gap between academic concepts and practical implementation in Python.

Dettagli del prodotto

Shop Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection online at a best price in San Marino. 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

A chi è consigliato?

Suitable For
  • Data Scientists

    Ideal for professionals looking to enhance their skills in time series forecasting and anomaly detection using PyTorch.

  • Machine Learning Enthusiasts

    A great resource for hobbyists eager to apply deep learning techniques to real-world time series problems.

  • Academics and Researchers

    Beneficial for those engaged in research requiring practical applications of deep learning in time dependent data.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals without a basic understanding of programming or machine learning principles.

DESCRIZIONE DEL PRODOTTO

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • Domanda: Come acquistare Deep Learning for Time Series Cookbook: Use PyTorch online da Ubuy?

    Risposta: È facile acquistare Deep Learning for Time Series Cookbook: Use PyTorch online da Ubuy.. Devi solo cercare il prodotto, scegliere il metodo di spedizione durante il check-out e farlo consegnare alla tua posizione.
  • Domanda: Deep Learning for Time Series Cookbook: Use PyTorch è disponibile per gli acquisti online in San Marino?

    Risposta: Sì, su Ubuy San Marino questo prodotto è disponibile per gli acquisti a un prezzo ragionevole.. Il Deep Learning for Time Series Cookbook: Use PyTorch non è disponibile localmente ma puoi fidarti di noi con i nostri servizi di spedizione espressa.
  • Domanda: Quanto tempo ci vuole per ottenere il prodotto dopo aver effettuato l'ordine?

    Risposta: I tempi di consegna del prodotto ordinato variano in base a ciò che hai ordinato e al metodo di spedizione che hai scelto.. Il tempo di consegna stimato viene menzionato durante il processo di pagamento, quindi sii spensierato durante lo shopping.

Higher Education Editorial Review

Deep Learning For Time Series Cookbook: Use PyTorch And Python Recipes For Forecasting, Classification, And Anomaly Detection offers practical applications and recipes for utilizing deep learning techniques effectively in time series analysis. The book, published by Packt Publishing, features 304 pages of insightful content, scheduled for release on 29 Mar. 2024, making it a timely addition for enthusiasts and professionals alike. Readers will appreciate the clear layout and accessible language, as it covers essential topics like forecasting and classification using PyTorch and Python. This makes it suitable for both beginners and advanced practitioners looking to enhance their skills in anomaly detection and other critical areas of time series data processing.

Recensioni e valutazioni dei clienti

3.8
11 valutazioni dei clienti
  • 5 stella
    57%
  • 4 stella
    12%
  • 3 stella
    0%
  • 2 stella
    20%
  • 1 stella
    11%

Recensisci questo prodotto

Condividi le tue impressioni con altri clienti

Vantaggi

  • Comprehensive recipes for hands-on learning
  • Covers key topics like anomaly detection
  • Accessible language for all skill levels
  • Structured layout enhances learning experience
  • Focus on practical applications with PyTorch

Contro

  • Some users may find it too technical at times

Cronologia dei prezzi del prodotto

Informazioni importanti

  • Limitazioni: per i prodotti spediti a livello internazionale, si prega di notare che ogni garanzia del produttore potrebbe non essere valida, le opzioni di assistenza del produttore potrebbero non essere disponibili, i manuali del prodotto, le istruzioni e gli avvisi di sicurezza potrebbero non essere nella lingua del paese di destinazione. I prodotti (e i materiali di accompagnamento) potrebbero non essere progettati in conformità con gli standard, le specifiche e i requisiti di etichettatura del paese di destinazione e i prodotti potrebbero non essere conformi alla tensione di rete del paese di destinazione e ad altri standard elettrici (richiedendo l'uso di un adattatore o di un trasformatore, se necessario). Il destinatario è responsabile di assicurare che il prodotto possa essere legalmente importato nel paese di destinazione. Quando si ordina da Ubuy o dai suoi affiliati, il destinatario è l'importatore registrato ed è tenuto a rispettare tutte le leggi e i regolamenti del paese di destinazione.
  • Non tutti i prodotti elencati su Ubuy sono in vendita, poiché Ubuy è un motore di ricerca globale. I prodotti sono soggetti a regolamenti di esportazione/commercio.

€ 75

Ordina subito e ricevilo entro Sabato, Ottobre 24

Qtà:

Transazione sicuraTransazione sicura

Conforme allo standard PCI DSS e certificato ISO 27001:2022, con pagamenti crittografati e piena protezione dell'acquirente su ogni ordine.

I nostri principali partner logistici
  • fedex
  • dhl
Consegna transfrontaliera più rapida

Caratteristiche e benefici

  • Master time series analysis and modeling with deep learning.
  • Utilize PyTorch to build advanced deep neural networks.
  • Learn practical solutions for forecasting, classification, and anomaly detection.
  • Includes free PDF eBook with purchase of print or Kindle version.
  • Gain hands-on experience through easy-to-follow code recipes.
  • Ideal for machine learning enthusiasts with basic Python knowledge.

Garanzia Ubuy

Vivi un'esperienza di shopping senza pensieri con prodotti 100% originali, sicurezza dei pagamenti conforme allo standard PCI DSS, protezione dei dati certificata ISO 27001, la consegna internazionale più rapida, resi gratuiti, e imballaggio sicuro su ogni ordine.*