Encyclopedia of Data Science and Machine Learning

Big data and machine learning are driving the Fourth Industrial Revolution,with the potential to maximize citizen wealth and promote societal health. The Encyclopedia of Data Science and Machine Learning provides an international forum for experts to advance knowledge and practice in these fields,covering topics such as benefit management, recommendation system analysis, and global software development.

Format: Hardback
Length: 3143 pages
Publication date: 31 October 2023
Publisher: IGI Global

The Fourth Industrial Revolution is being propelled forward by the power of big data and machine learning. As we navigate the era of big data, we face the risk of being overwhelmed by the sheer volume of digital information. However, big data has now emerged as a crucial component in both the business world and our daily lives, thanks to the fusion of machine learning and big data. The potential for synergy and innovation is immense, as these two powerful tools work together to unlock new opportunities and drive economic growth.

Big data and machine learning are poised to not only maximize citizen wealth but also contribute to the overall well-being of society. As big data continues to evolve and the demand for professionals in this field increases, it is essential to have access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area.

The Encyclopedia of Data Science and Machine Learning serves as a comprehensive resource that examines current, state-of-the-art research in the fields of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning. The encyclopedia emphasizes emerging theories, principles, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities.

The coverage of topics in this encyclopedia is extensive, encompassing areas such as benefit management, recommendation system analysis, and global software development. It serves as a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students, educators, government officials, researchers, and academicians alike. By providing a comprehensive and up-to-date overview of the field, the encyclopedia fosters a deeper understanding of the potential of big data and machine learning to transform industries and improve our lives.

In conclusion, the power of big data and machine learning is driving the Fourth Industrial Revolution, and their integration has the potential to revolutionize the way we live and work. The Encyclopedia of Data Science and Machine Learning serves as a valuable resource for anyone seeking to stay informed and advance their knowledge in this interdisciplinary field. As we continue to navigate the era of big data, it is essential to have access to comprehensive and authoritative resources like this encyclopedia to maximize the benefits of these powerful tools and drive positive change in our society.

Weight: 11696g
Dimension: 281 x 390 x 295 (mm)
ISBN-13: 9781799892205