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eBooks > Non-Fiction > Computing & I.T. > Databases > Database Design & Theory
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Database Design & Theory

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  • Statistics and Data Foundations for AI - Tamraparni Dasu
    Statistics and Data Foundations for AI
    Tamraparni Dasu and Geetha Murthy
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  • Exploratory Data Analysis Using R : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ronald K. Pearson
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  • Designing Geodatabases for Transportation - J. Allison Butler
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  • Data for Journalists : A Practical Guide for Computer-Assisted Reporting - Brant Houston
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    Brant Houston
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  • Deep Learning in Genome Mapping : Computation and Analysis - Soumya Ranjan Nayak
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    Soumya Ranjan Nayak, Shailendra Pratap Singh, Jagendra Singh, Prabhishek Singh and Deepak Garg
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  • Data-Driven Applications for Emerging Technologies - Nazmul Siddique
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    Nazmul Siddique, Mohammad Shamsul Arefin, Ahmed Wasif Reza and Aminul Haque
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  • AI and Data Engineering for Healthcare : Real-World Applications and Case Studies - Anjan Bandyopadhyay
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    Anjan Bandyopadhyay, Tanvir Habib Sardar, Saurav Mallik, Ruhul Amin Hazarika and Mahendra Kumar Gourisaria
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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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  • Machine Learning with Go Quick Start Guide : Hands-on techniques for building supervised and unsupervised machine learning workflows - Michael Bironneau
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    Michael Bironneau and Toby Coleman
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  • A Practical Guide to Database Design - Rex Hogan
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    Rex Hogan
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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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  • Ethereum Cookbook : Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps - Manoj P R
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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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  • Advanced Deep Learning with Python : Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch - Ivan Vasilev
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  • Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Luis Pedro Coelho
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    Luis Pedro Coelho, Willi Richert and Matthieu Brucher
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  • Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges - Andrea Lonza
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  • Machine Learning with the Elastic Stack : Expert techniques to integrate machine learning with distributed search and analytics - Rich Collier
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    Rich Collier and Bahaaldine Azarmi
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  • Apache Hadoop 3 Quick Start Guide : Learn about big data processing and analytics - Hrishikesh Vijay Karambelkar
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    Hrishikesh Vijay Karambelkar
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  • Hands-On Data Analysis with NumPy and pandas : Implement Python packages from data manipulation to processing - Curtis Miller
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    Curtis Miller
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  • JavaScript for Data Science : Chapman & Hall/CRC Data Science Series - Maya Gans
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    Maya Gans, Toby Hodges and Greg Wilson
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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
    Apache Spark 2: Data Processing and Real-Time Analytics
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    Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi and Shuen Mei
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  • R Machine Learning Projects : Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 - Dr. Sunil Kumar Chinnamgari
    R Machine Learning Projects
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    Dr. Sunil Kumar Chinnamgari
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  • Blockchain Development for Finance Projects : Building next-generation financial applications using Ethereum, Hyperledger Fabric, and Stellar - Ishan Roy
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    Ishan Roy
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  • Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Giuseppe Bonaccorso
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    Giuseppe Bonaccorso
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  • Apache Spark Quick Start Guide : Quickly learn the art of writing efficient big data applications with Apache Spark - Shrey Mehrotra
    Apache Spark Quick Start Guide
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    Shrey Mehrotra and Akash Grade
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  • Data Science with SQL Server Quick Start Guide : Integrate SQL Server with data science - Dejan Sarka
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    Dejan Sarka
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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
    Hands-On Neural Networks with TensorFlow 2.0
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    Paolo Galeone
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  • Applied Data Science with Python and Jupyter : Use powerful industry-standard tools to unlock new, actionable insights from your data - Alex Galea
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    Alex Galea
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  • Privacy, Big Data, and the Public Good : Frameworks for Engagement - Julia Lane
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    Frameworks for Engagement
    Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum
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    Okcan Yasin Saygili
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  • Hands-On Deep Learning with Apache Spark : Build and deploy distributed deep learning applications on Apache Spark - Guglielmo Iozzia
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    Guglielmo Iozzia
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  • Microsoft Power BI Quick Start Guide : Build dashboards and visualizations to make your data come to life - Devin Knight
    Microsoft Power BI Quick Start Guide
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    Devin Knight, Brian Knight, Mitchell Pearson and Manuel Quintana
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    Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle and Mohd. Shafi Pathan
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    Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman
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    Tristan Guillevin
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    Alvaro Fuentes
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    Marleen Meier and David Baldwin
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  • Machine Learning for Mobile : Practical guide to building intelligent mobile applications powered by machine learning - Revathi Gopalakrishnan
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    Revathi Gopalakrishnan and Avinash Venkateswarlu
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    Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu and Pablo Maldonado
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  • GDPR: A Game of Snakes and Ladders : How Small Businesses Can Win at the Compliance Game - Samantha Alford
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  • Hands-On Dashboard Development with QlikView : Practical guide to creating interactive and user-friendly business intelligence dashboards - Abhishek Agarwal
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  • Hands-On Ensemble Learning with Python : Build highly optimized ensemble machine learning models using scikit-learn and Keras - George Kyriakides
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  • PySpark Cookbook : Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python - Tomasz Drabas
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  • TensorFlow: Powerful Predictive Analytics with TensorFlow : Predict valuable insights of your data with TensorFlow - Md. Rezaul Karim
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  • Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases - Sudarshan Kadambi
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