Inhaltsangabe:
Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all-however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.
Über die Autorin bzw. den Autor:
Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator at San Jose State University; chair of the IEEE Computer Society Santa Clara Valley chapter; and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an Association for Computing Machinery (ACM) Distinguished Speaker and before as an industry expert and researcher, he was invited to speak at 60+ engagements including conferences, faculty development programs, and other forums some of which are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley. His book, “Veracity of Big Data,” and some of his other edited books on machine learning and software development are available in major libraries in USA including those of the US Congress, MIT, Stanford University, and internationally. Dr. Pendyala taught a one-week course sponsored by the Government of India’s Ministry of Human Resource Development (MHRD), under the GIAN program in 2017, to Computer Science faculty from across the country and delivered the keynote in a similar program sponsored by All India Council for Technical Education (AICTE), Government of India in 2022. Dr. Pendyala recently served on a National Science Foundation (NSF) proposal review panel. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad in Andhra Pradesh, India. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention. He has served as an Area Governor with Toastmasters International and has received the Distinguished Toastmaster, Area Governor of the Year, and Silver Scribe awards.
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