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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions - Deepak Mukunthu
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  • Discourse Studies - Ways and Crossroads : Insights into Cultural, Diachronic and Genre Issues in the Discipline - Karolina Bros
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  • IBM Db2 11.1 Certification Guide : Explore techniques to master database programming and administration tasks in IBM Db2 - Mohankumar Saraswatipura
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  • QlikView: Advanced Data Visualization : Discover deeper insights with Qlikview by building your own rich analytical applications from scratch - Miguel Ángel García
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  • Apache Spark Deep Learning Cookbook : Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow - Ahmed Sherif
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  • R : Mining spatial, text, web, and social media data - Bater Makhabel
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  • Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, and Machine Learning at Scale - Valliappa Lakshmanan
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  • Modelling and Development of Intelligent Systems : 6th International Conference, MDIS 2019, Sibiu, Romania, October 3-5, 2019, Revised Selected Papers - Dana Simian
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  • The Enterprise Big Data Lake : Delivering the Promise of Big Data and Data Science - Alex Gorelik
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    Alex Gorelik
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  • Machine Learning for Beginners : An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work - Steven Cooper
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    Steven Cooper
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  • Principles of Exposure Measurement in Epidemiology : Collecting, evaluating and improving measures of disease risk factors - Emily White
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  • Object-Relational Mapping (ORM) : MongoDB, Mongoosejs and Node.js By Example - Agus Kurniawan
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  • Hands-On Web Scraping with Python : Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others - Anish Chapagain
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    Frank Semeraro
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  • Statistical Application Development with R and Python : Develop applications using data processing, statistical models, and CART - Prabhanjan Narayanachar Tattar
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