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Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Item #: 15651420

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Item #: 15651420

KRW 84601

KRW 161063

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What Stands Out

Comprehensive Coverage
Offers detailed insights into both statistical methods and machine learning techniques for time series analysis, enabling users to tackle varied data forecasting scenarios effectively.
User-Friendly Approach
Designed for both beginners and experienced analysts, the book simplifies complex concepts, ensuring easy comprehension and practical application for real-world predictions.
Real-World Examples
Includes practical case studies and examples that illustrate the application of techniques, allowing readers to connect theory with practice for effective learning.

Product Details

Shop for Practical Time Series Analysis: Prediction with Statistics and Machine Learning 1st Edition at Ubuy South Korea. Find great deals on a wide range of books at our South Korea.
Publisher O'Reilly Media
Publication date November 19, 2019
Edition 1st
Language English
Print length 497 pages
ISBN-10 1492041653
ISBN-13 978-1492041658
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their predictive modeling skills using time series data.

  • Graduate Students

    Perfect for graduate students pursuing courses in statistics, machine learning, or data analysis for comprehensive learning.

  • Business Analysts

    Useful for business analysts needing to forecast trends for informed decision-making and strategic planning.

Not Suitable For
  • Beginner Statisticians

    Not suitable for those with no prior knowledge of statistics or machine learning concepts.

Product Description

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

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Intelligence & Semantics Editorial Review

The 1st Edition of the book "Practical Time Series Analysis: Prediction with Statistics and Machine Learning" has received mixed reviews from customers. Some readers appreciated the practical approach and found it to be an easy read, especially for individuals with a machine learning background. However, others expressed disappointment, highlighting issues such as disorganized content, poorly written example codes, the author's inConsistent use of programming languages (Python and R), and concerns about plagiarism and lack of documentation in the codes. The book garnered criticism for its verbose and disorganized nature, with readers noting that it felt as though the author was speaking to herself without Considering readability. They pointed out that the text includes copied definitions from Wikipedia and an overreliance on blog posts rather than citing scientific literature. Additionally, some readers found the examples to be unhelpful and not easily reproducible, expressing regret over their purchase and feeling that the book was a waste of time and money.

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Pros

  • Provides a practical approach to time series analysis
  • Includes useful tips and tricks
  • Offers some catchy concepts, such as AR and MA models, that readers found memorable

Cons

  • InConsistent use of Python and R may make it difficult for readers working exclusively in one language

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