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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
Hardcover
Series: Studies in Big Data, Book 139
ISBN13: 9783031435393
Publisher: Springer
Published: Feb 2 2024
Pages: 372
Weight: 1.70
Height: 0.39 Width: 5.98 Depth: 9.13
Language: English
The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns.
Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.Also from
Ishikawa, Hiroshi
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