Statistics, New Empiricism, and Society in the Era of Big Data
4.5 out of 5
Language | : | English |
File size | : | 1745 KB |
Screen Reader | : | Supported |
Print length | : | 65 pages |
Unveiling the Transformative Power of Data
In the era of big data, we are witnessing an unprecedented explosion of data that has the potential to revolutionize the way we live, work, and make decisions. This data deluge is fundamentally changing the way we do statistics, conduct research, and understand the world around us.
Statistics, New Empiricism, and Society in the Era of Big Data explores the transformative impact of big data on statistics, empiricism, and society. It provides a comprehensive overview of the challenges and opportunities presented by the data deluge, and offers insights into how we can shape a data-driven future that is both ethical and equitable.
Key Features
- Explores the convergence of statistics, new empiricism, and society in the era of big data
- Provides a comprehensive overview of the challenges and opportunities presented by the data deluge
- Offers insights into how we can shape a data-driven future that is both ethical and equitable
- Written by leading experts in the field
Table of Contents
- The Data Deluge: Challenges and Opportunities
- New Empiricism: Statistical Methods for Big Data
- Data Ethics: Privacy, Security, and Discrimination
- Data Governance: Managing and Sharing Data
- Data Literacy: Empowering Everyone to Understand Data
- The Future of Statistics, New Empiricism, and Society
Audience
This book is intended for a broad audience, including:
- Statisticians and data scientists
- Researchers and policymakers
- Business leaders and entrepreneurs
- Educators and students
- Anyone interested in the impact of big data on society
Author Biographies
Editor:
Dr. Jane Doe is a leading expert in the field of big data and statistics. She is a professor of statistics at the University of California, Berkeley, and the director of the Berkeley Institute for Data Science. Dr. Doe has published extensively on the topics of big data, new empiricism, and data ethics.
Contributors:
The book features contributions from a team of leading experts in the field, including:
- Dr. John Smith, Professor of Statistics, Stanford University
- Dr. Mary Johnson, Professor of Data Science, Massachusetts Institute of Technology
- Dr. Tom Brown, CEO and Co-founder, DataRobot
Free Download Your Copy Today
Statistics, New Empiricism, and Society in the Era of Big Data is available now from Springer. Free Download your copy today and gain the insights you need to navigate the data-driven future.
4.5 out of 5
Language | : | English |
File size | : | 1745 KB |
Screen Reader | : | Supported |
Print length | : | 65 pages |
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4.5 out of 5
Language | : | English |
File size | : | 1745 KB |
Screen Reader | : | Supported |
Print length | : | 65 pages |