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Big Data and Social Science

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 and Data Analytics

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;

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Why AI/Data Science Projects Fail

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

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

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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Data Science and Internet of Things

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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Data Science Tools

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 & Big Data Analytics

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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Data Science at the Command Line

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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Doing Data Science in R

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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Introduction to Data Science

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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Machine Learning and Data Science

A practitioner’s 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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Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, VOL 2

"This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial;

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Mathematical Problems in Data Science

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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Computational Social Science

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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Computational Social Science

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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A Hands-On Introduction to Data Science

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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Principles of Data Science

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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Human-Centered Data Science: An Introduction

datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science;

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Data Science at the Command Line

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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Utilizing Educational Data Mining Techniques for Improved Learning

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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Utilizing Educational Data Mining Techniques for Improved Learning

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

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

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Data Science Solutions on Azure

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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