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  • Introduction To Python For Data Analysis : Step By Step Guide For Beginners - Robert Damborad
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  • Machine Learning with the Elastic Stack : Expert techniques to integrate machine learning with distributed search and analytics - Bahaaldine Azarmi Rich Collier
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  • Apache Hadoop 3 Quick Start Guide : Learn about big data processing and analytics - Hrishikesh Vijay Karambelkar
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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
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  • CAD Engineering Essentials: Hands-on Help for Small Manufacturers and Smart Technical People : No Nonsence Manuals, #3 - Mark Lynch
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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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  • The Implementation of Animation (Computer Software) in Teaching Sustainable Architecture (Education for Sustainability) with Specific Reference to the Sun. - William Van Zyl
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  • Top 20 MS Excel VBA Simulations, VBA to Model Risk, Investments, Growth, Gambling, and Monte Carlo Analysis - Andrei Besedin
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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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  • Simulating Innovation : Computer-based Tools for Rethinking Innovation - Christopher Watts
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  • SAP Master Data Governance (MDG) on HANA : SAP Data Management : Book 1 - Sukant Pandey
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  • Statistical Application Development with R and Python - Second Edition : Software Implementation Illustrated with R and Python - Prabhanjan Narayanachar Tattar
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    Prabhanjan Narayanachar Tattar
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    Adidas Wilson
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  • Microeconometrics and MATLAB : An Introduction - Abi Adams
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    Abi Adams, Damian Clarke and Simon Quinn
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  • Open Space : The Global Effort for Open Access to Environmental Satellite Data - Mariel Borowitz
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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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    Jason Morris, Chris McCubbin and Raymond Page
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  • Apache Superset Quick Start Guide : Develop interactive visualizations by creating user-friendly dashboards - Shashank Shekhar
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  • Getting Started with Haskell Data Analysis : Put your data analysis techniques to work and generate publication-ready visualizations - James Church
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  • Data Analytics for Businesses 2019 : Master Data Science with Optimised Marketing Strategies using Data Mining Algorithms (Artificial Intelligence, Machine Learning, Predictive Modelling and more) - Riley Adams
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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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  • Machine Learning with Go Quick Start Guide : Hands-on techniques for building supervised and unsupervised machine learning workflows - Michael Bironneau
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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
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