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Java for Data Science

of data science * Grasp how data is collected, cleaned, and processed * Become comfortable with key data analysis techniques * See specialized;

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Data Science

, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III;

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Machine Learning for Biometrics

feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools;

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Urban Computing

big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides;

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Data Science Concepts and Techniques with Applications

of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first;

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Smart Data

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Secure Data Science: Integrating Cyber Security and Data Science

intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security;

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Data Science for Public Policy

data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst's time and advancing to the;

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Data Science for Public Policy

data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst's time and advancing to the;

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Recent Advances on Soft Computing and Data Mining

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get;

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Smart Data

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent;

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Java

available in Java * Work with the Java APIs and techniques used to perform efficient data analysis * Find out how to approach different machine;

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Introduction to Data Science

field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;

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Statistics for Exercise Science and Health with Microsoft Office Excel

their own data using the presented statistical techniques combined with Excel * Features comprehensive coverage of hypothesis testing and;

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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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Data Science & Big Data Analytics

* Apply appropriate analytic techniques and tools to analyzing big data * Learn how to tell a compelling story with data to drive business action;

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Data Science and Its Applications

The term data being mostly used, experimented, analyzed, and researched, Data Science and its Applications finds relevance in all;

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an;

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an;

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Applied Missing Data Analysis in the Health Sciences

This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field;

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Principles of Data Science

with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts;

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Advanced Remote Sensing

, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications.

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Data Science with Java

to apply these concepts with Java. You'll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and;

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Geospatial Data Science Techniques and Applications

, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the;

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Essentials of Data Science and Analytics

This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;

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