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  • Big Data and Computational Intelligence in Networking - Yulei Wu
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  • Pandas for Everyone : Python Data Analysis - Daniel Y. Chen
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  • R Deep Learning Projects : Master the techniques to design and develop neural network models in R - Yuxi (Hayden) Liu
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  • Mastering Apache Solr 7.x : An expert guide to advancing, optimizing, and scaling your enterprise search - Dharmesh Vasoya
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  • Analytical, Approximate-Analytical and Numerical Methods in the Design of Energy Analyzers : Advances in Imaging and Electron Physics : Book 192 - Peter W. Hawkes
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  • Actian Matrix (Formely ParAccel) - Architecture and SQL : Tera-Tom Genius Series : Book 17 - Tom Coffing
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    Tom Coffing and Ed Bernier
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  • Learning to Love Data Science : Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization - Mike Barlow
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  • Mastering Python Data Visualization : Generate effective results in a variety of visually appealing charts using the plotting packages in Python - Kirthi Raman
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  • Data Analysis and Business Modeling with Excel 2013 : Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information - David Rojas
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  • Web Development with MongoDB and NodeJS : Build an interactive and full-featured web application from scratch using Node.js and MongoDB - Mithun Satheesh
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  • MariaDb Essentials : Quickly get up to speed with MariaDB—the leading, drop-in replacement for MySQL, through this practical tutorial - Emilien Kenler
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  • Spidering Hacks : 100 Industrial-Strength Tips & Tools - Morbus Iff
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    Morbus Iff and Tara Calishain
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  • Oracle Business Intelligence Enterprise Edition 12c : Build your organization's Business Intelligence system - Haroun Khan
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    Haroun Khan, Adrian Ward and Bill Anderson
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  • Deep Learning with TensorFlow : Explore neural networks with Python - Giancarlo Zaccone
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    Giancarlo Zaccone, Md. Rezaul Karim and Fabrizio Milo
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  • Mastering Machine Learning with R : Advanced prediction, algorithms, and learning methods with R 3.x - Cory Lesmeister
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  • Deep Learning with Keras : Implementing deep learning models and neural networks with the power of Python - Antonio Gulli
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  • Machine Learning with Spark : Develop intelligent, distributed machine learning systems - Rajdeep Dua
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    James D. Miller and Dalong Chen
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  • SQL Server 2016 Developer's Guide : Build efficient database applications for your organization with SQL Server 2016 - Dejan Sarka
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  • Learning Quantitative Finance with R : Implement machine learning, time-series analysis, algorithmic trading and more - Dr. Param Jeet
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  • Java Data Science Cookbook : Explore the power of MLlib, DL4j, Weka, and more - Rushdi Shams
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    Alberto Paro
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