- Почетна страница /
- Knjige /
- Science & Math /
- Mathematics /
- Applied /
- Probability & Statistics /
- Modern Time Series Forecasting with Python: E...
0 ratings
artikal br.:
62629275
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
89% of respondents would recommend this to a friend
artikal br.:
62629275
RSD 8618
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from SAD
0 ratings
Napišite recenziju
На лагеру
Uvezeno iz USA prodavnice
QTY:
Naručite sada i dobijte oko Četvrtak, Oktobar 15
Secured transaction
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.
Our Top Logistics Partners
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of SAD store (110-120). Recommended power converters Kupi odmah.
Детаљи о производу
- Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of energy forecastingBook DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML.This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You’ll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you’ll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability.By the end of this book, you’ll be able to build world-class time series forecasting systems and tackle problems in the real world.What you will learnFind out how to manipulate and visualize time series data like a proSet strong baselines with popular models such as ARIMADiscover how time series forecasting can be cast as regressionEngineer features for machine learning models for forecastingExplore the exciting world of ensembling and stacking modelsGet to grips with the global forecasting paradigmUnderstand and apply state-of-the-art DL models such as N-BEATS and AutoformerExplore multi-step forecasting and cross-validation strategiesWho this book is forThe book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since the book explains most concepts from the ground up, basic proficiency in Python is all you need. Prior understanding of machine learning or forecasting will help speed up your learning. For experienced machine learning and forecasting practitioners, this book has a lot to offer in terms of advanced techniques and traversing the latest research frontiers in time series forecasting.Table of ContentsIntroducing Time SeriesAcquiring and Processing Time Series DataAnalyzing and Visualizing Time Series DataSetting a Strong Baseline ForecastTime Series Forecasting as RegressionFeature Engineering for Time Series ForecastingTarget Transformations for Time Series ForecastingForecasting Time Series with Machine Learning ModelsEnsembling and StackingGlobal Forecasting ModelsIntroduction to Deep LearningBuilding Blocks of Deep Learning for Time SeriesCommon Modeling Patterns for Time SeriesAttention and Transformers for Time SeriesStrategies for Global Deep Learning Forecasting Models(N.B. Please use the Look Inside option to see further chapters)
| Publisher | Packt Publishing |
| Publication date | November 24, 2022 |
| Language | English |
| Print length | 552 pages |
| ISBN-10 | 1803246804 |
| ISBN-13 | 978-1803246802 |
| Item Weight | 2.07 pounds (940 grams) |
| Dimensions | 7.5 x 1.25 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
OPIS PROIZVODA
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Imate li upita? Razgovarajte sa nama
Питања и одговори купаца
-
Pitanje:
Како купити Modern Time Series Forecasting with Python: Explore на мрежи од Убуи-а?
Odgovor: Лако је куповати Modern Time Series Forecasting with Python: Explore на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију. -
Pitanje:
Да ли је Modern Time Series Forecasting with Python: Explore доступан за онлајн куповину у Serbia?
Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Modern Time Series Forecasting with Python: Explore није доступан локално, али можете нам веровати у наше услуге експресне испоруке. -
Pitanje:
Колико времена је потребно да се производ добије након наручивања?
Odgovor: Време испоруке вашег нарученог производа варира у зависности од тога шта сте наручили и начина испоруке који сте изабрали.. Процењено време испоруке се помиње током процеса плаћања, па будите безбрижни док купујете.
Probability & Statistics Editorial Review
Није пронађена ниједна уредничка рецензија
Customer Reviews & Ratings
1 recenzije kupaca
-
5 zvezda
100%
-
4 zvezda
0%
-
3 zvezda
0%
-
2 zvezda
0%
-
1 zvezda
0%
Ocenite ovaj proizvod
Podelite svoja razmišljanja sa drugim kupcima
Product Price History
Važna informacija
- Ograničenja: Za proizvode koji se isporučuju međunarodno, imajte na umu da garancija proizvođača možda neće biti važeća; opcije servisiranja proizvođača možda neće biti dostupne; priručnici za proizvode, uputstva i upozorenja o bezbednosti možda nisu na jezicima zemlje odredišta; proizvodi (i prateći materijali) ne moraju biti dizajnirani u skladu sa standardima zemlje odredišta, specifikacijama i zahtevima za označavanje; a proizvodi možda nisu u skladu sa naponom zemlje odredišta i drugim električnim standardima (zahteva se upotreba adaptera ili pretvarača ako je potrebno). Primalac je odgovoran za osiguranje da se proizvod može zakonito uvesti u odredišnu zemlju. Prilikom naručivanja od kompanije Ubuy ili njegovih podružnica, primalac je nadležni uvoznik i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.
RSD 8618
Naručite sada i dobijte oko Četvrtak, Oktobar 15
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.