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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Computational Biology : A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R - Röbbe Wünschiers
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  • Cryptography in Constant Parallel Time : Computer Science (R0) - Benny Applebaum
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  • People, Problems, and Proofs : Essays from Godel's Lost Letter: 2010 - Richard J. Lipton
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  • ECSCW 2013 : Proceedings of the 13th European Conference on Computer Supported Cooperative Work, 21-25 September 2013, Paphos, Cyprus - Author
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  • Abstraction in Artificial Intelligence and Complex Systems - Lorenza Saitta
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  • Cultural Synergy in Information Institutions : Computer Science (R0) - Richard P. Smiraglia
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  • Essential Linear Algebra with Applications : A Problem-Solving Approach - Titu Andreescu
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    N. Banagaaya, Giuseppe Alì and Wil H.A. Schilders
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  • Fourier Analysis—A Signal Processing Approach : Computer Science (R0) - D. Sundararajan
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  • Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging - Darren Quick
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  • Task Scheduling for Multi-core and Parallel Architectures : Challenges, Solutions and Perspectives - Quan Chen
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    Quan Chen and Minyi Guo
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    Raymond S. T. Lee
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  • Digitalisation and Development : Issues for India and Beyond - Dibyendu Maiti
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    Dibyendu Maiti, Fulvio Castellacci and Arne Melchior
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  • Network-Oriented Modeling for Adaptive Networks : Designing Higher-Order Adaptive Biological, Mental and Social Network Models - Jan Treur
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  • The Freelance Data Scientist and Big Data Analyst : Freelance Jobs and Their Profiles, #3 - The Gig Economist
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    The Gig Economist
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  • Moodle Security : Learn how to install and configure Moodle in the most secure way possible - Darko Miletic
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  • Pentaho 3.2 Data Integration: Beginner's Guide : Explore, transform, validate, and integrate your data with ease - María Carina Roldán
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    María Carina Roldán
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  • BIRT 2.6 Data Analysis and Reporting : Create, Design, Format, and Deploy Reports with the world's most popular Eclipse-based Business Intelligence and Reporting Tool - John Ward
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  • Oracle Database 11g : Underground Advice for Database Administrators : Beyond the basics - April Sims
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    April Sims
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  • Oracle JRockit: The Definitive Guide : Understanding Adaptive Runtimes using JRockit R27/28 - Marcus Hirt
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    Marcus Hirt and Marcus Lagergren
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  • Processing XML documents with Oracle JDeveloper 11g : Creating, validating, and transforming XML documents with Oracle's IDE - Deepak Vohra
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  • SharePoint Designer Tutorial: Working with SharePoint Websites : Get started with SharePoint Designer and learn to put together a business website with SharePoint with this book and eBook - Mike Poole
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  • Alfresco Developer Guide : Customizing Alfresco with actions, web scripts, web forms, workflows, and more - Jeff Potts
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  • Microsoft Dynamics NAV 2009: Professional Reporting : Discover all the tips and tricks for Dynamics NAV report building - Steven Renders
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  • MySQL for Python : Integrating MySQL and Python can bring a whole new level of productivity to your applications. This practical tutorial shows you how with examples and explanations that clarify even the most difficult concepts. - Albert Lukaszewski
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  • Mastering TypoScript: TYPO3 Website, Template, and Extension Development : Mastering TypoScript: TYPO3 Website, Template, and Extension Development - Daniel Koch
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  • Fast Data Processing with Spark 2 : Accelerate your data for rapid insight - Krishna Sankar
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  • Julia for Data Science : high-performance computing simplified - Anshul Joshi
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  • Android High Performance Programming : Build fast and efficient Android apps that run as reliably as clockwork in a multi-device world - Diego Grancini
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    Diego Grancini and Enrique López Mañas
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  • Introduction to R for Business Intelligence : Profit optimization using data mining, data analysis, and Business Intelligence - Jay Gendron
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  • Mastering Predictive Analytics with Python : Exploit the power of data in your business by building advanced predictive modeling applications with Python - Joseph Babcock
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  • Python Data Analysis Cookbook : Clean, scrape, analyze, and visualize data with the power of Python! - Ivan Idris
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  • Advanced Machine Learning with Python : Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python - John Hearty
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  • R for Data Science Cookbook : Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques - Prabhanjan Narayanachar Tattar
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  • Mastering Business Intelligence with MicroStrategy : Master Business Intelligence with Microstrategy 10 - Dmitry Anoshin
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  • Machine Learning for the Web : Gaining insight and intelligence from the internet with Python - Andrea Isoni
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  • Big Data Analytics with R : Leverage R Programming to uncover hidden patterns in your Big Data - Simon Walkowiak
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  • Hadoop Blueprints : Use Hadoop to solve business problems by learning from a rich set of real-life case studies - Anurag Shrivastava
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  • Spark for Data Science : Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 - Srinivas Duvvuri
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  • Computational History and Data-Driven Humanities : Second IFIP WG 12.7 International Workshop, CHDDH 2016, Dublin, Ireland, May 25, 2016, Revised Selected Papers - Bojan Bozic
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