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  • Exploratory Data Analysis with MATLAB : Chapman & Hall/CRC Computer Science & Data Analysis - Wendy L. Martinez
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  • Learning TensorFlow : A Guide to Building Deep Learning Systems - Tom Hope
    Learning TensorFlow
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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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  • Oracle Mobile Cloud Service Developer's Guide - John Thomas
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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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  • SQL Server on Linux : Configuring and administering your SQL Server solution on Linux - Jasmin Azemoviƒá
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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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  • Augmented Human : How Technology Is Shaping the New Reality - Helen Papagiannis
    Augmented Human
    How Technology Is Shaping the New Reality
    Helen Papagiannis
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  • Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark - Zoiner Tejada
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  • Python : Data Analytics and Visualization - Phuong Vo.T.H
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    Phuong Vo.T.H, Martin Czygan, Ashish Kumar and Kirthi Raman
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  • Actionable Intelligence in Healthcare : Data Analytics Applications - Jay Liebowitz
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    Jay Liebowitz and Amanda Dawson
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  • Practical Machine Learning Cookbook : Supervised and unsupervised machine learning simplified - Atul Tripathi
    Practical Machine Learning Cookbook
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    Atul Tripathi and Vikram Chandra Jha
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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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  • Building Data Streaming Applications with Apache Kafka : Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark - Manish Kumar
    Building Data Streaming Applications with Apache Kafka
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    Manish Kumar, Chanchal Singh, Manisha Sethi and Anshul Joshi
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  • Mastering Machine Learning with scikit-learn : Apply effective learning algorithms to real-world problems using scikit-learn - Gavin Hackeling
    Mastering Machine Learning with scikit-learn
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    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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    Allen Yu, Claire Chung, Aldrin Yim, Nikhil Borkar and Christopher Shoe
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  • MATLAB for Machine Learning : Practical examples of regression, clustering and neural networks - Giuseppe Ciaburro
    MATLAB for Machine Learning
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    Giuseppe Ciaburro
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  • From Internet of Things to Smart Cities : Enabling Technologies - Hongjian Sun
    From Internet of Things to Smart Cities
    Enabling Technologies
    Hongjian Sun
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  • Introduction to Computing Applications in Forestry and Natural Resource Management - Jingxin Wang
    Introduction to Computing Applications in Forestry and Natural Resource Management
    Jingxin Wang
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  • Oracle Database 12c Release 2 Testing Tools and Techniques for Performance and Scalability - Jim Czuprynski
    Oracle Database 12c Release 2 Testing Tools and Techniques for Performance and Scalability
    Jim Czuprynski, Deiby Gomez and Bert Scalzo
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  • Learning Spark SQL : Architect streaming analytics and machine learning solutions - Aurobindo Sarkar
    Learning Spark SQL
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    Aurobindo Sarkar
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  • Principles of Data Science : Mathematical techniques and theory to succeed in data-driven industries - Sinan Ozdemir
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    Sinan Ozdemir
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  • Mastering RethinkDB : Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB - Shahid Shaikh
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    Shahid Shaikh
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  • Practical Business Intelligence : Optimize Business Intelligence for Efficient Data Analysis - Ahmed Sherif
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    Ahmed Sherif
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  • Apache Spark for Data Science Cookbook : Solve real-world analytical problems - Padma Priya Chitturi
    Apache Spark for Data Science Cookbook
    Solve real-world analytical problems
    Padma Priya Chitturi
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  • Fast Data Processing Systems with SMACK Stack : Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! - Raúl Estrada
    Fast Data Processing Systems with SMACK Stack
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    Raúl Estrada
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  • Scientific Computing with Python 3 : An example-rich, comprehensive guide for all of your Python computational needs - Claus Fuhrer
    Scientific Computing with Python 3
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    Claus Fuhrer, Jan Erik Solem, Olivier Verdier and Claus Führer
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  • Tableau Cookbook - Recipes for Data Visualization : Create beautiful data visualizations and interactive dashboards with Tableau - Shweta Savale
    Tableau Cookbook - Recipes for Data Visualization
    Create beautiful data visualizations and intera...
    Shweta Savale
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  • Mastering Text Mining with R : Extract and recognize your text data - KUMAR ASHISH
    Mastering Text Mining with R
    Extract and recognize your text data
    KUMAR ASHISH
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  • Data Mining : A Tutorial-Based Primer, Second Edition - Richard J. Roiger
    Data Mining
    A Tutorial-Based Primer, Second Edition
    Richard J. Roiger
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  • Bioinformatics Database Systems - Kevin Byron
    Bioinformatics Database Systems
    Kevin Byron, Katherine G. Herbert and Jason T. L. Wang
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  • Oracle Business Intelligence and Essbase Solutions Guide - Rosendo Abellera
    Oracle Business Intelligence and Essbase Solutions Guide
    Rosendo Abellera and Lakshman Bulusu
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  • Speed, Data, and Ecosystems : Excelling in a Software-Driven World - Jan Bosch
    Speed, Data, and Ecosystems
    Excelling in a Software-Driven World
    Jan Bosch
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  • Java for Data Science : Examine the techniques and Java tools supporting the growing field of data science - Richard M. Reese
    Java for Data Science
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    Richard M. Reese, Jennifer L. Reese and Shilpi Saxena
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  • Thoughtful Machine Learning with Python : A Test-Driven Approach - Matthew Kirk
    Thoughtful Machine Learning with Python
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    Matthew Kirk
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  • Data Science with Java : Practical Methods for Scientists and Engineers - PhD Michael R. Brzustowicz
    Data Science with Java
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    PhD Michael R. Brzustowicz
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  • Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark - Russell Jurney
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    Russell Jurney
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  • Advanced Analytics with Spark : Patterns for Learning from Data at Scale - Sean Owen
    Advanced Analytics with Spark
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    Sean Owen, Josh Wills, Sandy Ryza and Uri Laserson
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  • Text Mining with R : A Tidy Approach - Julia Silge
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    Julia Silge and David Robinson
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  • Software-Defined Data Infrastructure Essentials : Cloud, Converged, and Virtual Fundamental Server Storage I/O Tradecraft - Greg Schulz
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    Greg Schulz
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  • Mastering Ceph : Redefine your storage system - Nick Fisk
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    Nick Fisk
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  • Discovery Tools : The Next Generation of Library Research - John S. Spencer
    Discovery Tools
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    John S. Spencer and Christopher Millson-Martula
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  • The Visual Imperative : Creating a Visual Culture of Data Discovery - Lindy Ryan
    The Visual Imperative
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    Lindy Ryan
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  • Getting Started with RethinkDB : Absorb the knowledge required to utilize, manage, and deploy - Gianluca Tiepolo
    Getting Started with RethinkDB
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    Gianluca Tiepolo
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  • Implementing Oracle Fusion General Ledger and Oracle Fusion Accounting Hub - Anil Passi
    Implementing Oracle Fusion General Ledger and Oracle Fusion Accounting Hub
    Anil Passi, Vladimir Ajvaz and Nivas Ramanathan
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  • Cisco UCS Cookbook : Over 40 practical recipes to get your hands dirty with the powerful Cisco UCS and overcome various challenges - Victor Wu
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    Victor Wu
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  • Troubleshooting OpenStack : Get unstuck and start stacking! - Tony Campbell
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    Tony Campbell
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  • Special Techniques in Excel - David Fong
    Special Techniques in Excel
    David Fong
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  • TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning - Bharath Ramsundar
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    Bharath Ramsundar and Reza Bosagh Zadeh
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  • Redis 4.x Cookbook : Over 80 hand-picked recipes for effective Redis development and administration - Pengcheng Huang
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  • SQL Server 2017 Machine Learning Services with R : Data exploration, modeling, and advanced analytics - Julie Koesmarno
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    Julie Koesmarno and Toma?æ Ka?°trun Kaštrun
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  • Ethereum Smart Contract Development : Build blockchain-based decentralized applications using solidity - Mayukh Mukhopadhyay
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    K. Gopalakrishnan and Sam R. Alapati
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  • Teradata Cookbook : Over 85 recipes to implement efficient data warehousing solutions - Abhinav Khandelwal
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