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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Data Analytics with Python : Data Analytics in Python Using Pandas - Frank Millstein
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  • Hands-On Dashboard Development with Shiny : A practical guide to building effective web applications and dashboards - Chris Beeley
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  • Principles and Practice of Big Data : Preparing, Sharing, and Analyzing Complex Information - Jules J. Berman
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  • Object-Relational Mapping (ORM) : MongoDB, Mongoosejs and Node.js By Example - Agus Kurniawan
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  • Mathematics in Computing : An Accessible Guide to Historical, Foundational and Application Contexts - Gerard O’Regan
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    Tuan D. Pham
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  • Intelligent Computing Paradigm and Cutting-edge Technologies : Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019 - Lakhmi C. Jain
    Intelligent Computing Paradigm and Cutting-edge Technologies
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  • Intelligent Transport Systems. From Research and Development to the Market Uptake : Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6, 2019 - Ana Lúcia Martins
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  • SOFSEM 2020: Theory and Practice of Computer Science : 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20-24, 2020, Proceedings - Alexander Chatzigeorgiou
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    Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos Kapoutsis and Florian Sikora
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  • Web Information Systems and Technologies : 14th International Conference, WEBIST 2018, Seville, Spain, September 18-20, 2018, Revised Selected Papers - María José Escalona
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    María José Escalona, Francisco Domínguez Mayo, Tim A. Majchrzak and Valérie Monfort
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  • Information and Communication Technologies in Education, Research, and Industrial Applications : 15th International Conference, ICTERI 2019, Kherson, Ukraine, June 12-15, 2019, Revised Selected Papers - Vadim Ermolayev
    Information and Communication Technologies in Education, Research, and Industrial Applications
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    Vadim Ermolayev, Frédéric Mallet, Vitaliy Yakovyna, Heinrich C. Mayr and Aleksander Spivakovsky
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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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  • Customer Data and Privacy : The Insights You Need from Harvard Business Review - Harvard Business Review
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    Harvard Business Review, Timothy Morey, Andrew Burt, Christine Moorman and Thomas C. Redman
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  • Securing the Cloud : Security Strategies for the Ubiquitous Data Center - Curtis Franklin Jr.
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    Curtis Franklin Jr. and Brian Chee
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  • Advanced Blockchain Development : Build highly secure, decentralized applications and conduct secure transactions - Imran Bashir
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    Imran Bashir and Narayan Prusty
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  • Apache Superset Quick Start Guide : Develop interactive visualizations by creating user-friendly dashboards - Shashank Shekhar
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    Shashank Shekhar
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  • Big Data Analytics Made Easy - Y. Lakshmi Prasad
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  • Foundations for Architecting Data Solutions : Managing Successful Data Projects - Ted Malaska
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  • Microsoft Power BI Complete Reference : Bring your data to life with the powerful features of Microsoft Power BI - Devin Knight
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    Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana and Brett Powell
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  • Programming PyTorch for Deep Learning : Creating and Deploying Deep Learning Applications - Ian Pointer
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    Ian Pointer
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  • Modeling and Simulation Based Analysis in Reliability Engineering : Advanced Research in Reliability and System Assurance Engineering - Mangey Ram
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    Advanced Research in Reliability and System Ass...
    Mangey Ram
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  • SAP-BusinessObjects-Data-Services---Complete-Reference : SAP Data Management : Book 1 - Sukant Pandey
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    Sukant Pandey
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  • Hands-On Time Series Analysis with R : Perform time series analysis and forecasting using R - Rami Krispin
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    Rami Krispin
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  • Learn T-SQL Querying : A guide to developing efficient and elegant T-SQL code - Pedro Lopes
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    Pedro Lopes and Pam Lahoud
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  • Microsoft Excel Spreadsheet Data Formulas - Kenny L Keys
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    Kenny L Keys
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  • Beginning Data Science with Python and Jupyter : Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data - Alex Galea
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    Alex Galea
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  • MongoDB for C# by Example - Agus Kurniawan
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    Agus Kurniawan
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  • Data Science in Cybersecurity and Cyberthreat Intelligence : Intelligent Technologies and Robotics (R0) - Leslie F. Sikos
    Data Science in Cybersecurity and Cyberthreat Intelligence
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    Leslie F. Sikos and Kim-Kwang Raymond Choo
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  • Excel 2010 and 2011 : advanced - Christian Schönberger
    Excel 2010 and 2011
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    Christian Schönberger
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  • Model Management and Analytics for Large Scale Systems - Loek Cleophas
    Model Management and Analytics for Large Scale Systems
    Loek Cleophas, Mark van den Brand, Mehmet Aksit, Önder Babur and Bedir Tekinerdogan
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  • Neural Networks : Neural Networks Tools and Techniques for Beginners - John Slavio
    Neural Networks
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    John Slavio
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  • Mastering Kibana 6.x : Visualize your Elastic Stack data with histograms, maps, charts, and graphs - Anurag Srivastava
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    Anurag Srivastava
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    Krish Krishnan
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    Prashant Kumar Pandey
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  • Go Web Scraping Quick Start Guide : Implement the power of Go to scrape and crawl data from the web - Vincent Smith
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    Vincent Smith
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    Robert Layton
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  • Emerging Research in Data Engineering Systems and Computer Communications : Proceedings of CCODE 2019 - P. Venkata Krishna
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    P. Venkata Krishna and Mohammad S. Obaidat
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  • Practical MATLAB Deep Learning : A Project-Based Approach - Michael Paluszek
    Practical MATLAB Deep Learning
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    Michael Paluszek and Stephanie Thomas
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  • Sentiment Analysis : Mining Opinions, Sentiments, and Emotions - Bing Liu
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    Bing Liu
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  • PySpark Cookbook : Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python - Tomasz Drabas
    PySpark Cookbook
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    Tomasz Drabas and Denny Lee
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  • Machine Learning For Beginners Guide Algorithms : Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction - Tristan Luminous
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    Tristan Luminous
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  • Optimizing Oracle Performance : A Practitioner's Guide to Optimizing Response Time - Cary Millsap
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    Cary Millsap and Jeff Holt
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  • Advances in Imaging and Electron Physics : Advances in Imaging and Electron Physics : Book 207 - Peter W. Hawkes
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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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  • Computational Methods and Clinical Applications for Spine Imaging : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings - Yunliang Cai
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  • Data Management, Analytics and Innovation : Proceedings of ICDMAI 2024, Volume 1 - Neha Sharma
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  • 13th International Conference on Information Systems and Advanced Technologies
    13th International Conference on Information Systems and Advanced Technologies "ICISAT 2023"
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    Mohamed Ridda Laouar, Valentina Emilia Balas, Vincenzo Piuri, Dana Rad and Abbas Cheddad
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  • Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation : Proceedings of the International Conference on Business and Technology (ICBT2024), Volume 4 - Bahaaeddin Alareeni
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  • Advances of Machine Learning for Knowledge Mining in Electronic Health Records - P. Mohamed Fathimal
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  • Pattern Seekers : The Science Behind Data-Driven Discoveries - Akinfolajimi Bamigbola
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  • Intelligent Decision Technologies : Proceedings of the 16th KES-IDT 2024 Conference - Ireneusz Czarnowski
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