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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Predictive Analytics for Marketers : Using Data Mining for Business Advantage - Barry Leventhal
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  • Machine Learning and Security : Protecting Systems with Data and Algorithms - Clarence Chio
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  • Learning Pentaho Data Integration 8 CE : An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Dan Keeley
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  • scikit-learn Cookbook , Second Edition : Over 80 recipes for machine learning in Python with scikit-learn - Julian Avila
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  • SQL Server 2017 Administrator's Guide : One stop solution for DBAs to monitor, manage, and maintain enterprise databases - Marek Chmel
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  • TensorFlow 1.x Deep Learning Cookbook : Over 90 unique recipes to solve artificial-intelligence driven problems with Python - Antonio Gulli
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  • New Topological Invariants for Real- and Angle-Valued Maps : An Alternative to Morse-Novikov Theory - Dan Burghelea
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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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  • Introduction to Data Compression : The Morgan Kaufmann Series in Multimedia Information and Systems - Khalid Sayood
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    Khalid Sayood
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  • Jupyter for Data Science : Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter - Toomey
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  • Learning Neo4j 3.x : Effective data modeling, performance tuning and data visualization techniques in Neo4j - Jerome Baton
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    Jerome Baton and Rik Van Bruggen
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  • Advances in Digital Document Processing and Retrieval : Statistical Science And Interdisciplinary Research : Book 13 - Bidyut Baran Chaudhuri
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    Bidyut Baran Chaudhuri and Swapan Kumar Parui
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  • Machine Learning for Developers : Uplift your regular applications with the power of statistics, analytics, and machine learning - Rodolfo Bonnin
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    Rodolfo Bonnin
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  • Scala for Machine Learning : Build systems for data processing, machine learning, and deep learning - Patrick R. Nicolas
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  • Practical Real-time Data Processing and Analytics : Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka - Shilpi Saxena
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    Tom Hope, Yehezkel S. Resheff and Itay Lieder
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  • Learning Informatica PowerCenter 10.x : Enterprise data warehousing and intelligent data centers for efficient data management solutions - Rahul Malewar
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    Rahul Malewar
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  • Moving Hadoop to the Cloud : Harnessing Cloud Features and Flexibility for Hadoop Clusters - Bill Havanki
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    Bill Havanki
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    Jasmin Azemović
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  • Mastering Apache Storm : Real-time big data streaming using Kafka, Hbase and Redis - Ankit Jain
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    Ankit Jain
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  • Augmented Human : How Technology Is Shaping the New Reality - Helen Papagiannis
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    How Technology Is Shaping the New Reality
    Helen Papagiannis
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  • Building Data Streaming Applications with Apache Kafka : Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark - Manish Kumar
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  • Mastering Machine Learning with scikit-learn : Apply effective learning algorithms to real-world problems using scikit-learn - Gavin Hackeling
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  • Matplotlib 2.x By Example : Multi-dimensional charts, graphs, and plots in Python - Allen Yu
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  • MATLAB for Machine Learning : Practical examples of regression, clustering and neural networks - Giuseppe Ciaburro
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    Giuseppe Ciaburro
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  • Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms - Nikhil Buduma
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    Nikhil Buduma and Nicholas Locascio
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  • Learning Social Media Analytics with R : Transform data from social media platforms into actionable business insights - Raghav Bali
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    Hans-Jürgen Schönig
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  • Apache Spark 2.x Cookbook : Over 70 cloud-ready recipes for distributed Big Data processing and analytics - Rishi Yadav
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