EasterBlack-owned or founded brands at TargetGroceryClothing, Shoes & AccessoriesBabyHomeFurnitureKitchen & DiningOutdoor Living & GardenToysElectronicsVideo GamesMovies, Music & BooksSports & OutdoorsBeautyPersonal CareHealthPetsHousehold EssentialsArts, Crafts & SewingSchool & Office SuppliesParty SuppliesLuggageGift IdeasGift CardsClearanceTarget New ArrivalsTarget Finds#TargetStyleTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores

Sponsored

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Deep Learning for Time Series Cookbook - by  Vitor Cerqueira & Luís Roque (Paperback) - 1 of 1
$43.99 sale price when purchased online
$49.99 list price
Target Online store #3991

About this item

Highlights

  • Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipesKey FeaturesLearn the fundamentals of time series analysis and how to model time series data using deep learningExplore the world of deep learning with PyTorch and build advanced deep neural networksGain expertise in tackling time series problems, from forecasting future trends to classifying patterns and anomaly detectionPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMost organizations exhibit a time-dependent structure in their processes, including fields such as finance.
  • Author(s): Vitor Cerqueira & Luís Roque
  • 274 Pages
  • Computers + Internet, Data Processing

Description



About the Book



Deep Learning for Time Series Cookbook covers several time series problems, and how to tackle them using deep learning in a set of coding recipes.



Book Synopsis



Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes

Key Features
  • Learn the fundamentals of time series analysis and how to model time series data using deep learning
  • Explore the world of deep learning with PyTorch and build advanced deep neural networks
  • Gain expertise in tackling time series problems, from forecasting future trends to classifying patterns and anomaly detection
  • Purchase of the print or Kindle book includes a free PDF eBook
Book Description

Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce uncertainty and enable better planning of operations. Unlike traditional approaches to forecasting, deep learning can process large amounts of data and help derive complex patterns. Despite its increasing relevance, getting the most out of deep learning requires significant technical expertise.

This book guides you through applying deep learning to time series data with the help of easy-to-follow code recipes. You'll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these problems using different deep neural network architectures, including convolutional neural networks (CNNs) or transformers. As you progress, you'll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions.

By the end of this book, you'll have learned how to solve different time series tasks with deep learning using the PyTorch ecosystem.

What you will learn
  • Grasp the core of time series analysis and unleash its power using Python
  • Understand PyTorch and how to use it to build deep learning models
  • Discover how to transform a time series for training transformers
  • Understand how to deal with various time series characteristics
  • Tackle forecasting problems, involving univariate or multivariate data
  • Master time series classification with residual and convolutional neural networks
  • Get up to speed with solving time series anomaly detection problems using autoencoders and generative adversarial networks (GANs)
Who this book is for

If you're a machine learning enthusiast or someone who wants to learn more about building forecasting applications using deep learning, this book is for you. Basic knowledge of Python programming and machine learning is required to get the most out of this book.

Table of Contents
  1. Getting Started with Time Series
  2. Getting Started with PyTorch
  3. Univariate Time Series Forecasting
  4. Forecasting with PyTorch Lightning
  5. Global Forecasting Models
  6. Advanced Deep Learning Architectures for Time Series Forecasting
  7. Probabilistic Time Series Forecasting
  8. Deep Learning for Time Series Classification
  9. Deep Learning for Time Series Anomaly Detection
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .58 Inches (D)
Weight: 1.05 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 274
Genre: Computers + Internet
Sub-Genre: Data Processing
Publisher: Packt Publishing
Format: Paperback
Author: Vitor Cerqueira & Luís Roque
Language: English
Street Date: March 29, 2024
TCIN: 94345973
UPC: 9781805129233
Item Number (DPCI): 247-21-0060
Origin: Made in the USA or Imported
If the item details above aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.58 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.05 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, shipped, delivered by a Shipt shopper, or made ready for pickup.
See the return policy for complete information.

Related Categories

Get top deals, latest trends, and more.

Privacy policy

Footer

About Us

About TargetCareersNews & BlogTarget BrandsBullseye ShopSustainability & GovernancePress CenterAdvertise with UsInvestorsAffiliates & PartnersSuppliersTargetPlus

Help

Target HelpReturnsTrack OrdersRecallsContact UsFeedbackAccessibilitySecurity & FraudTeam Member Services

Stores

Find a StoreClinicPharmacyOpticalMore In-Store Services

Services

Target Circle™Target Circle™ CardTarget Circle 360™Target AppRegistrySame Day DeliveryOrder PickupDrive UpFree 2-Day ShippingShipping & DeliveryMore Services
PinterestFacebookInstagramXYoutubeTiktokTermsCA Supply ChainPrivacyCA Privacy RightsYour Privacy ChoicesInterest Based AdsHealth Privacy Policy