نتایج جستجو
برای Art Data، صفحه ۲۸ از ۹۶۷ در بین ۲۴,۱۵۳ کتاب.
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Python Data Science Handbook. Essential Tools for Working with Data
Jake VanderPlas, 2016PDF
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?
Piotr Hońko (auth.), 2017PDF
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXI: Special Issue on Data and Security Engineering
Abdelkader Hameurlain, Josef Küng, Roland Wagner, Tran Khanh Dang, Nam Thoai (eds.), 2017PDF
Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
Steven Finlay (auth.), 2014PDF
Data Mining for Managers: How to Use Data (Big and Small) to Solve Business Challenges
Richard Boire (auth.), 2014PDF
Data Protection: Ensuring Data Availability
Preston de Guise, 2017PDF
Data visualization for Oracle business intelligence 11g : create highly visual presentations of BI data
Vlamis, Dan; Vlamis, Tim, 2015PDF
Oracle big data handbook : plan and implement an enterprise big data infrastructure
Tom Plunkett et al., 2014PDF
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Transparent Data Mining for Big and Small Data
Tania Cerquitelli, 2017
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Transparent Data Mining for Big and Small Data
Tania Cerquitelli, Daniele Quercia, Frank Pasquale (eds.), 2017PDF
Think Like a Data Scientist. Tackle the data science process step-by-step
Brian Godsey, 2017PDF
Core Data in Swift Data Storage and Management for iOS and OS X
Marcus S. Zarra, 2016PDF
Core Data in Objective-C Data Storage and Management for iOS and OS X
Marcus S. Zarra, 2016PDF
Ember Data in the Wild Getting Ember Data to Work With Your API
David Tang, 2016PDF
Data Analytics Models and Algorithms for Intelligent Data Analysis
Thomas A. Runkler, 2012
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Python Data Science Handbook: Essential Tools for Working with Data
Jake VanderPlas, 2016PDF
Incomplete Data and Data Dependencies in Relational Databases
Sergio Greco, Cristian Molinaro, Francesca Spezzano, 2012
EPUB
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz, 2017PDF
OECD Digital Government Studies Open Government Data Review of Mexico: Data Reuse for Public Sector Impact and Innovation: Edition 2016 (Volume 2016)
Oecd Organisation For Economic Co-Operation And Development, 2016
AZW3
