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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A;
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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;
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Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most;
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Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;
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Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;
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This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can;
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In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software;
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;
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This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist;
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This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;
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Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization;
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A practitioners tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and;
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Vergelijkbare producten zoals Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An
"This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial;
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This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix;
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Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work;
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Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work;
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This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior;
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This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;
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datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science;
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This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data;
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Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial;
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Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial;
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;
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in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end;
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