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  • Mining Over Air: Wireless Communication Networks Analytics

    Series series Computer Science (R0)
    This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns analytics, wireless resource usage ... Leer más

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  • Big Data Applications in the Telecommunications Industry

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    The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study ... Leer más

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  • Mastering Oracle SQL

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    The vast majority of Oracle SQL books discuss some syntax, provide the barest rudiments of using Oracle SQL, and perhaps include a few simple examples. It might be enough to pass a survey course, or give you some buzz words to drop in conversation with real Oracle DBAs. But if you use Oracle SQL on a regular basis, you want much more. You want to access the full power of SQL to write queries in an ... Leer más

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  • Data Model Patterns: A Metadata Map

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    Series series The Morgan Kaufmann Series in Data Management Systems
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  • Data Wrangling with Python

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    How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to ... Leer más

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  • Spark: The Definitive Guide

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  • Java: Data Science Made Easy

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  • Python for Probability, Statistics, and Machine Learning

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  • Handbook of Big Data Technologies

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