Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications (Studies in Big Data #139)
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Fulfillment optionsHypothesis Generation and Interpretation
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.Details
- Publisher
- Springer International Publishing
- Author
- Hiroshi Ishikawa
- Format
- Paperback
- Published
- Feb 2, 2025
- ISBN-13
- 9783031435423
- Pages
- 372
- Printing
- Printed on demand
Hypothesis Generation and Interpretation for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $175.99 | 12% off list |
| 50 – 99 | $173.99 | 13% off list |
| 100+ | $171.99 | 14% off list |
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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications (Studies in Big Data #139)
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