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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Human-Computer Interaction > Information Architecture
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Information Architecture

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  • Information Systems and Neuroscience : Gmunden Retreat on NeuroIS 2016 - René Riedl
    Information Systems and Neuroscience
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    René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Fred D. Davis and Adriane B. Randolph
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  • Economic Models for Managing Cloud Services : Computer Science (R0) - Sajib Mistry
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    Sajib Mistry, Athman Bouguettaya and Hai Dong
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  • R Web Scraping Quick Start Guide : Techniques and tools to crawl and scrape data from websites - Olgun Aydin
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    Olgun Aydin
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  • Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Luis Pedro Coelho
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    Luis Pedro Coelho, Willi Richert and Matthieu Brucher
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  • Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges - Andrea Lonza
    Reinforcement Learning Algorithms with Python
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    Andrea Lonza
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  • Business Innovation and ICT Strategies : Business and Management (R0) - Sriram Birudavolu
    Business Innovation and ICT Strategies
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    Sriram Birudavolu and Biswajit Nag
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  • Graphics Recognition. Current Trends and Evolutions : 12th IAPR International Workshop, GREC 2017, Kyoto, Japan, November 9-10, 2017, Revised Selected Papers - Alicia Fornés
    Graphics Recognition. Current Trends and Evolutions
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    Alicia Fornés and Bart Lamiroy
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  • Agile Methods : 10th Brazilian Workshop, WBMA 2019, Belo Horizonte, Brazil, September 11, 2019, Revised Selected Papers - Paulo Meirelles
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    Paulo Meirelles, Maria Augusta Nelson and Carla Rocha
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  • Enterprise Interoperability VIII : Smart Services and Business Impact of Enterprise Interoperability - Keith Popplewell
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    Keith Popplewell, Klaus-Dieter Thoben, Thomas Knothe and Raúl Poler
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  • Machine Learning with the Elastic Stack : Expert techniques to integrate machine learning with distributed search and analytics - Rich Collier
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    Rich Collier and Bahaaldine Azarmi
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  • Apache Hadoop 3 Quick Start Guide : Learn about big data processing and analytics - Hrishikesh Vijay Karambelkar
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    Hrishikesh Vijay Karambelkar
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  • Hands-On Data Analysis with NumPy and pandas : Implement Python packages from data manipulation to processing - Curtis Miller
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  • Apache Spark 2: Data Processing and Real-Time Analytics : Master complex big data processing, stream analytics, and machine learning with Apache Spark - Romeo Kienzler
    Apache Spark 2: Data Processing and Real-Time Analytics
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    Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi and Shuen Mei
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  • R Machine Learning Projects : Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 - Dr. Sunil Kumar Chinnamgari
    R Machine Learning Projects
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    Dr. Sunil Kumar Chinnamgari
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  • Software Quality: Quality Intelligence in Software and Systems Engineering : 12th International Conference, SWQD 2020, Vienna, Austria, January 14-17, 2020, Proceedings - Dietmar Winkler
    Software Quality: Quality Intelligence in Software and Systems Engineering
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    Dietmar Winkler, Stefan Biffl, Daniel Mendez and Johannes Bergsmann
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  • Information Systems and Neuroscience : NeuroIS Retreat 2018 - Fred D. Davis
    Information Systems and Neuroscience
    NeuroIS Retreat 2018
    Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger and Adriane B. Randolph
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  • Handbook of Mobile Data Privacy - Aris Gkoulalas-Divanis
    Handbook of Mobile Data Privacy
    Aris Gkoulalas-Divanis and Claudio Bettini
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  • Parallel Agile - faster delivery, fewer defects, lower cost : Computer Science (R0) - Doug Rosenberg
    Parallel Agile - faster delivery, fewer defects, lower cost
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    Doug Rosenberg, Barry Boehm, Matt Stephens, Charles Suscheck and Bo Wang
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  • Blockchain for Business 2019 : A user-friendly introduction to blockchain technology and its business applications - Peter Lipovyanov
    Blockchain for Business 2019
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    Peter Lipovyanov
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  • Oracle Blockchain Quick Start Guide : A practical approach to implementing blockchain in your enterprise - Vivek Acharya
    Oracle Blockchain Quick Start Guide
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    Vivek Acharya, Anand Eswararao Yerrapati and Nimesh Prakash
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  • Mastering Tableau 2019.1 : An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Marleen Meier
    Mastering Tableau 2019.1
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    Marleen Meier and David Baldwin
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  • Machine Learning for Mobile : Practical guide to building intelligent mobile applications powered by machine learning - Revathi Gopalakrishnan
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    Revathi Gopalakrishnan and Avinash Venkateswarlu
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  • Getting Started with Tableau 2019.2 : Effective data visualization and business intelligence with the new features of Tableau 2019.2 - Tristan Guillevin
    Getting Started with Tableau 2019.2
    Effective data visualization and business intel...
    Tristan Guillevin
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  • Become a Python Data Analyst : Perform exploratory data analysis and gain insight into scientific computing using Python - Alvaro Fuentes
    Become a Python Data Analyst
    Perform exploratory data analysis and gain insi...
    Alvaro Fuentes
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  • Geospatial Data Science Quick Start Guide : Effective techniques for performing smarter geospatial analysis using location intelligence - Abdishakur Hassan
    Geospatial Data Science Quick Start Guide
    Effective techniques for performing smarter geo...
    Abdishakur Hassan and Jayakrishnan Vijayaraghavan
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  • Mastering Machine Learning with R : Advanced machine learning techniques for building smart applications with R 3.5 - Cory Lesmeister
    Mastering Machine Learning with R
    Advanced machine learning techniques for buildi...
    Cory Lesmeister
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  • Mastering Hadoop 3 : Big data processing at scale to unlock unique business insights - Chanchal Singh
    Mastering Hadoop 3
    Big data processing at scale to unlock unique b...
    Chanchal Singh, Manish Kumar and Timothy Wong
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  • Systems Approaches to Making Change : A Practical Guide - Martin Reynolds
    Systems Approaches to Making Change
    A Practical Guide
    Martin Reynolds and ?Sue Holwell
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  • Deep Learning with R for Beginners : Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet - Mark Hodnett
    Deep Learning with R for Beginners
    Design neural network models in R 3.5 using Ten...
    Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu and Pablo Maldonado
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  • Systems Thinkers : Computer Science (R0) - Magnus Ramage
    Systems Thinkers
    Computer Science (R0)
    Magnus Ramage and Karen Shipp
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  • Hands-On Data Science with the Command Line : Automate everyday data science tasks using command-line tools - Jason Morris
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    Automate everyday data science tasks using comm...
    Jason Morris, Chris McCubbin and Raymond Page
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  • Hands-On Deep Learning with Apache Spark : Build and deploy distributed deep learning applications on Apache Spark - Guglielmo Iozzia
    Hands-On Deep Learning with Apache Spark
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    Guglielmo Iozzia
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  • Hands-On Blockchain with Hyperledger : Building decentralized applications with Hyperledger Fabric and Composer - Nitin Gaur
    Hands-On Blockchain with Hyperledger
    Building decentralized applications with Hyperl...
    Nitin Gaur, Luc Desrosiers, Petr Novotny, Venkatraman Ramakrishna and Anthony O'Dowd
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  • Training Systems Using Python Statistical Modeling : Explore popular techniques for modeling your data in Python - Curtis Miller
    Training Systems Using Python Statistical Modeling
    Explore popular techniques for modeling your da...
    Curtis Miller
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  • Getting Started with Haskell Data Analysis : Put your data analysis techniques to work and generate publication-ready visualizations - James Church
    Getting Started with Haskell Data Analysis
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    James Church
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  • Ripple Quick Start Guide : Get started with XRP and develop applications on Ripple's blockchain - Febin John James
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    Febin John James
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  • Hands-On Exploratory Data Analysis with R : Become an expert in exploratory data analysis using R packages - Radhika Datar
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    Radhika Datar and Harish Garg
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  • Managing Data Science : Effective strategies to manage data science projects and build a sustainable team - Kirill Dubovikov
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    Kirill Dubovikov
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  • Hands-On Ensemble Learning with Python : Build highly optimized ensemble machine learning models using scikit-learn and Keras - George Kyriakides
    Hands-On Ensemble Learning with Python
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    George Kyriakides and Konstantinos G. Margaritis
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  • Blockchain Development for Finance Projects : Building next-generation financial applications using Ethereum, Hyperledger Fabric, and Stellar - Ishan Roy
    Blockchain Development for Finance Projects
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    Ishan Roy
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  • Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Giuseppe Bonaccorso
    Mastering Machine Learning Algorithms
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    Giuseppe Bonaccorso
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  • Applied Data Science with Python and Jupyter : Use powerful industry-standard tools to unlock new, actionable insights from your data - Alex Galea
    Applied Data Science with Python and Jupyter
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    Alex Galea
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  • Apache Spark Quick Start Guide : Quickly learn the art of writing efficient big data applications with Apache Spark - Shrey Mehrotra
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    Shrey Mehrotra and Akash Grade
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  • Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks - Paolo Galeone
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  • Data Science with SQL Server Quick Start Guide : Integrate SQL Server with data science - Dejan Sarka
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  • Guide to Software Development : Designing and Managing the Life Cycle - Arthur M. Langer
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  • Data Science Algorithms in a Week : Top 7 algorithms for scientific computing, data analysis, and machine learning - David Natingga
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  • Grand Societal Challenges in Information Systems Research and Education : Ideas from the ERCIS Virtual Seminar Series - Jan vom Brocke
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  • Protecting Privacy in Data Release : Computer Science (R0) - Giovanni Livraga
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  • Sociomaterial-Design : Bounding Technologies in Practice - Pernille Bjørn
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  • Collaboration, Learning and Innovation Across Outsourced Services Value Networks : Software Services Outsourcing in China - Pamela Abbott
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    Pamela Abbott, Yingqin Zheng and Rong Du
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  • Enterprise Governance of Information Technology : Achieving Alignment and Value, Featuring COBIT 5 - Steven De Haes
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    Steven De Haes and Wim Van Grembergen
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  • Smart Information Systems : Computational Intelligence for Real-Life Applications - Frank Hopfgartner
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  • Implementing IT Processes : The Main 17 IT Processes and Directions for a Successful Implementation - Lionel Pilorget
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  • The Data and Analytics Playbook : Proven Methods for Governed Data and Analytic Quality - Lowell Fryman
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