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Topological Data Analysis with Applications
Item #: 43767794

Topological Data Analysis with Applications

Item #: 43767794

AMD 28996

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What Stands Out

Comprehensive Coverage
Offers an extensive introduction to topological data analysis, explaining theory and practical applications clearly for both newcomers and experienced practitioners in the field.
Real-World Applications
Focuses on practical applications in various domains, demonstrating how to apply topological data analysis techniques to solve complex problems in real-world scenarios.
Accessible Learning
Designed with readability in mind, making complex concepts approachable for students and professionals who want to delve into advanced data analysis methods.

Product Details

Shop Topological Data Analysis with Applications online at a best price in Armenia. 1108838650
Publisher Cambridge University Press
Publication date December 16, 2021
Edition 1st
Language English
Print length 230 pages
ISBN-10 1108838650
ISBN-13 978-1108838658
Item Weight 1.28 pounds (580 grams)
Dimensions 6.75 x 0.75 x 9.75 inches (17.1 x 1.9 x 24.8 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Data scientists looking to enhance their skills in data analysis through topological methods will benefit greatly from this book.

  • Researchers

    Researchers in fields like machine learning or applied mathematics can apply topological data analysis to their projects effectively.

  • Students

    Graduate students studying data science or mathematics can deepen their understanding of data structures and their applications.

Not Suitable For
  • Beginners

    Those new to data analysis may find the content advanced and challenging without prior knowledge of topology.

Product Description

Topological Data Analysis with Applications

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Topology Editorial Review

Topological Data Analysis with Applications is a comprehensive exploration published by Cambridge University Press. Released on December 16, 2021, this first edition covers 230 pages of valuable insights into topological data analysis, making it an essential read for researchers and practitioners alike. With an ISBN-10 of 1108838650, the book is well-structured, allowing readers to grasp advanced concepts with clarity. The print dimensions are compact yet informative, facilitating ease of use in academic settings. Readers have praised its in-depth approach to applying topology in data analysis, making complex ideas more accessible for both novices and experts in the field.

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Pros

  • Well-structured content for clarity and understanding
  • Compact size for easy handling
  • In-depth exploration of topological concepts
  • Suitable for both beginners and experts
  • Published by a reputable publisher

Cons

  • Limited illustrations in some sections

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