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£128.45
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£128 today · previous high £128 · all-time low £125
Springer Hypothesis Generation and Interpretation - Big Data Design Principles
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Price distribution over 74 days • 2 price levels
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Most common price: £128 (43 days, 58.1%)
Price range: £125 - £128
Price levels: 2 different prices over 74 days
Description
Key Features
Springer publication focuses on design principles and patterns specifically for big data application development and hypothesis testing.
Part of the Studies in Big Data series (Volume 139), providing academic rigour and peer-reviewed content on advanced data science topics.
Covers hypothesis generation methodologies that help machine learning practitioners structure experiments and validate assumptions efficiently.
Explores interpretation techniques essential for understanding results from large-scale data analysis and model validation processes.
Provides practical design patterns applicable to artificial intelligence projects, making complex big data concepts actionable for developers.
Combines theoretical foundations with real-world applications, suitable for both academic study and professional development in computer science.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3031435427
- Domain
- Amazon UK
- Release Date
- 02 February 2025
- Listed Since
- 26 January 2025
Barcode
No barcode data available
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