Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback – 31 Oct. 2024
genuine image
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback – 31 Oct. 2024
This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models.
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback – 31 Oct. 2024
Articolo #: 104729386

Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback

Articolo #: 104729386

ALL 8039

Dettagli del prezzo

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

*All items will import from Regno Unito

Disponibile
Regno Unito Importato dal negozio UK
Ordina subito e ricevilo entro Martedì, Agosto 04
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
This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models.
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 Coverage
This book offers an in-depth exploration of time series forecasting techniques, integrating both machine learning and deep learning approaches using PyTorch and pandas, catering to industry needs.
Hands-On Approach
Readers engage in practical, hands-on projects to solidify concepts, ensuring skills are directly applicable in real-world scenarios, making it invaluable for professionals looking to enhance their forecasting prowess.
Future-Proof Skills
By focusing on modern tools and methodologies in time series analysis, the book equips readers with relevant skills necessary for evolving industry demands, thereby enhancing their career prospects in data science.

Dettagli del prodotto

Shop Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback – 31 Oct. 2024 online at a best price in Albania. B0D6G3SHD6
Publisher Packt Publishing
Publication date 31 Oct. 2024
Edition 2nd
Language English
Print length 658 pages
ISBN-10 1835883184
ISBN-13 978-1835883181
Item weight 1.12 kg
Dimensions 19.05 x 3.78 x 23.5 cm

A chi è consigliato?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their skills in time series analysis with advanced machine learning techniques.

  • Machine Learning Engineers

    Perfect for professionals seeking to apply deep learning methodologies to time series forecasting projects in various industries.

  • Students and Learners

    Beneficial for students studying data science who want practical knowledge of time series analysis using Python, PyTorch, and pandas.

Not Suitable For
  • Beginners

    Not suitable for complete beginners, as prior knowledge of Python and basic statistics is typically needed to grasp concepts.

DESCRIZIONE DEL PRODOTTO

Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas Paperback – 31 Oct. 2024

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • Domanda: What prior knowledge is needed to use this book?

    Risposta: A basic understanding of statistics and Python programming is recommended.
  • Domanda: Is this book suitable for beginners?

    Risposta: Yes, it starts with fundamental concepts before progressing to advanced topics.
  • Domanda: Can I use this book for practical applications in my job?

    Risposta: Absolutely, it provides industry-ready techniques and strategies for real-world forecasting problems.

Higher Education Editorial Review

**** "Modern Time Series Forecasting with Python" emerges as a highly recommended resource for those delving into machine learning and deep learning applications in time series analysis. Users have expressed their appreciation for the book's layered approach to presenting complex data analysis concepts, which facilitates understanding and practical application. Its usefulness is especially noted within the financial sector, where clients have sought the author's expertise in Python for numerical analysis and tick data handling. However, some users have pointed out limitations in the book's visual presentation, particularly noting the lack of color in charts and visual aids, which may hinder comprehension for readers who rely on graphical illustrations for better understanding. Despite this, the overwhelming sentiment among users is positive, highlighting the book's effectiveness in equipping readers with the necessary knowledge and skills to deliver results in time series forecasting. Overall, "Modern Time Series Forecasting with Python" serves as a valuable tool for both beginners and experienced practitioners in the field, with its comprehensive content significantly aiding users in their time series data projects. **

Recensioni e valutazioni dei clienti

4.0
1 valutazioni dei clienti
  • 5 stella
    0%
  • 4 stella
    100%
  • 3 stella
    0%
  • 2 stella
    0%
  • 1 stella
    0%

Recensisci questo prodotto

Condividi le tue impressioni con altri clienti

Vantaggi

  • Layered approach makes complex concepts easier to understand.
  • Highly useful for financial projects and tick data analysis.
  • Strong recommendation from users as an invaluable resource.

Contro

  • Lack of colors in charts may make them hard to read.

Affidabilità della piattaforma e fiducia degli acquirenti

trustpilot logo
4.3/5 9200 + reviews
Leggi le recensioni
MA
Mohammad
Acquirente verificato

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Acquirente verificato

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Acquirente verificato

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Acquirente verificato

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Acquirente verificato

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Pagamento sicuro Consegna in tutto il mondo Resi facili Prodotti originali

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.

ALL 8039

Ordina subito e ricevilo entro Martedì, Agosto 04

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
La consegna transfrontaliera più rapida

Caratteristiche e benefici

  • Learn traditional and advanced techniques for time series forecasting.
  • Hands-on practical examples to improve forecasting accuracy.
  • Includes free eBook with print or Kindle purchase.
  • Covers deep learning models including RNNs and transformers.
  • Ideal for professionals and students in various industries.
  • New edition features enhancements in transformer architectures and probabilistic forecasting.

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.*