Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Build world-class time series forecasting systems and tackle real-world problems
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Č. položky: 62629275

Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning

Č. položky: 62629275

€ 68

Price Details

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

*All items will import from USA

Na sklade
USA Importované z obchodu USA

QTY:

Objednajte teraz a dostanete to okolo Štvrtok, Október 15
Our Top Logistics Partners
  • fedex
  • dhl
Build world-class time series forecasting systems and tackle real-world problems
Zobraziť ďalšie
Záruka U-Care:
Žiadny
Vyberte plán
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
Note: Step Down Voltage Transformer required for using electronics products of USA store (110-120). Recommended power converters Kúpiť teraz.

What Stands Out

Industry-Relevant Skills
Learn practical time series forecasting techniques that are in high demand across industries, ensuring you acquire skills that enhance your employability and marketability in the data science field.
Comprehensive Coverage
Explore both traditional and advanced deep learning methods to provide a thorough understanding of time series forecasting, equipping learners with versatile strategies to tackle diverse forecasting challenges.
Hands-On Projects
Engage in real-world projects that allow you to apply techniques to actual datasets, fostering experiential learning and reinforcing concepts through practical application in an interactive format.

Detaily produktu

Shop Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning online at a best price in Slovakia. 1803246804
  • Explore industry-tested machine learning techniques used to forecast millions of time series
  • Get started with the revolutionary paradigm of global forecasting models
  • Apply new concepts to real-world datasets of energy forecasting
  • Discover how to manipulate and visualize time series data
  • Engineer features for machine learning models for forecasting
  • Learn about ensembling, stacking models, and global forecasting paradigm
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)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their forecasting capabilities using advanced machine learning techniques and deep learning.

  • Business Analysts

    Perfect for business analysts aiming to leverage time series forecasting to inform strategic decisions in their organizations.

  • Students & Learners

    Beneficial for students or learners interested in gaining practical skills in time series analysis and forecasting methodologies.

Not Suitable For
  • Absolute Beginners

    Not suitable for those without foundational knowledge in Python or machine learning concepts, as foundational skills are assumed.

OPIS PRODUKTU

Máte akýkoľvek dotaz? Chatujte s nami

Otázky a odpovede zákazníkov

  • otázka: What is time series forecasting?

    odpoveď: Time series forecasting is the process of predicting future values based on previously observed values. This approach is essential in various fields like finance for stock market predictions, supply chain management for inventory forecasting, and weather forecasting. By analyzing patterns and trends in historical data, practitioners can develop models that provide insights into future behavior, aiding in strategic decision-making.
  • otázka: How does Python facilitate time series forecasting?

    odpoveď: Python offers powerful libraries such as Pandas, NumPy, and Statsmodels, which simplify data manipulation and statistical modeling for time series analysis. Additionally, machine learning libraries like scikit-learn and deep learning frameworks such as TensorFlow and Keras enable the development of sophisticated forecasting models. Users can implement various techniques from classical to modern algorithms effectively, making Python a preferred choice among data scientists.
  • otázka: What techniques are covered in this book for forecasting?

    odpoveď: The book covers a range of techniques, including traditional statistical methods like ARIMA, as well as modern machine learning approaches, such as LSTM and Prophet. These methodologies provide a comprehensive toolkit for users, enabling them to tackle various forecasting challenges. The inclusion of practical examples showcases how to apply these techniques in real-world scenarios, helping users gain hands-on experience.
  • otázka: Who is this book suitable for?

    odpoveď: This book is suitable for data analysts, data scientists, and anyone interested in predictive analytics. It's designed for readers with a basic understanding of Python and statistical concepts. Whether you're a novice seeking to learn time series forecasting from scratch or an experienced practitioner looking to sharpen your skills with modern techniques, this resource provides valuable insights and practical applications.
  • otázka: Can beginners benefit from modern machine learning methods discussed in the book?

    odpoveď: Absolutely! The book provides clear explanations and step-by-step guides that will help beginners understand complex concepts. Each technique is introduced in a user-friendly manner, illustrated with practical examples. Using these modern machine learning methods, readers can witness the impact of data-driven decision-making in various scenarios, enhancing their learning experience effectively.
  • otázka: What real-world applications can I explore with the knowledge from this book?

    odpoveď: With the knowledge acquired from the book, readers can apply time series forecasting in various domains, including finance for stock price predictions, retail for sales forecasting, and healthcare for patient flow predictions. By implementing these techniques, users will gain valuable insights that can drive operational efficiencies and strategic initiatives, ultimately impacting business growth positively.
  • otázka: Is prior knowledge of machine learning required to understand this book?

    odpoveď: While prior knowledge of machine learning is helpful, it's not strictly necessary to understand the book. The author provides foundational concepts alongside advanced discussions, making the material accessible for readers at different levels. By gradually introducing the basics of machine learning in the context of time series, the book ensures that all readers can follow along and progress their skills.
  • otázka: What kind of models can I expect to build after reading this book?

    odpoveď: After reading the book, you'll be equipped to build a variety of models suitable for time series forecasting. These include traditional models like ARIMA and exponential smoothing, as well as advanced machine learning models like Random Forests, Gradient Boosting, and deep learning models such as LSTM. Readers will be prepared to choose appropriate models based on their data characteristics and forecasting needs.
  • otázka: Is additional software required to practice the techniques from the book?

    odpoveď: To practice the techniques highlighted in the book, you'll need to have Python and several libraries installed, including Pandas, NumPy, and TensorFlow. The book provides guidance on setting up your environment, ensuring you can easily run the provided examples. Familiarizing yourself with these tools will enhance your capability to experiment with different forecasting methodologies.
  • otázka: Where can I buy Modern Time Series Forecasting with Python?

    odpoveď: You can buy Modern Time Series Forecasting with Python online through Ubuy in Slovakia. Ubuy is known for offering a wide selection of books, ensuring you can easily find this title along with other educational resources. Simply visit Ubuy's website, search for the book, and secure your copy to start enhancing your forecasting skills.

Probability & Statistics Editorial Review

Nenašli sa žiadne redakčné recenzie

Customer Reviews & Ratings

62 hodnotenia zákazníkov
  • 5 hviezda
    69%
  • 4 hviezda
    16%
  • 3 hviezda
    6%
  • 2 hviezda
    3%
  • 1 hviezda
    6%

Pridať recenziu na tento výrobok

Zdieľajte vaše názory s ostatnámi zákazníkmi

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 recenzie
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Bezpečná platba Global Delivery Easy Returns Genuine Products

Product Price History

Dôležité informácie

  • Obmedzenia: Pre produkty s medzinárodnou dopravou, berte, prosím, do úvahy, že záruka výrobcu nemusí platiť, možnosti servisu od výrobcu nemusia byť dostupné, návody a pokyny pre výrobky a bezpečnostná záruka nemusia byť v jazyku destinácie, výrobky (a doplnkové materiály) nemusia mať podobu podľa štandardov krajiny, špecifikácií alebo požadovaných označení, produkty nemusia spĺňať štandard napätia a iné elektrické štandardy destinácie (môže sa vyžadovať použitie adaptéra alebo konvertora, ak je to možné). Príjemca je povinný zabezpečiť, aby mohol byť výrobok importovaný do krajiny destinácie v súlade so zákonom. Pri objednávaní z Ubuy alebo od pridružených spoločností je príjemca je dovozcom tovaru a musí sa riadiť všetkými platnými právnymi predpismi krajiny destinácie.
  • Nie všetky výrobky, ktoré nájdete na Ubuy, sú na predaj, keďže Ubuy je globálny vyhľadávač. Produkty podliehajú aj pravidlám vývozu a obchodným pravidlám.