Machine Learning For Societal Improvement Modernization And Progress

Download Machine Learning For Societal Improvement Modernization And Progress full books in PDF, epub, and Kindle. Read online Machine Learning For Societal Improvement Modernization And Progress ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Machine Learning for Societal Improvement, Modernization, and Progress

Author : Pendyala, Vishnu S.
Publisher : IGI Global
ISBN 13 : 1668440474
Total Pages : 307 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Societal Improvement, Modernization, and Progress by : Pendyala, Vishnu S.

Download or read book Machine Learning for Societal Improvement, Modernization, and Progress written by Pendyala, Vishnu S. and published by IGI Global. This book was released on 2022-06-24 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Cultural Life of Machine Learning

Author : Jonathan Roberge
Publisher : Springer Nature
ISBN 13 : 3030562867
Total Pages : 298 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis The Cultural Life of Machine Learning by : Jonathan Roberge

Download or read book The Cultural Life of Machine Learning written by Jonathan Roberge and published by Springer Nature. This book was released on 2020-11-30 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Frugal Innovation and Social Transitions in the Digital Era

Author : Tunio, Muhammad Nawaz
Publisher : IGI Global
ISBN 13 : 166845419X
Total Pages : 231 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Frugal Innovation and Social Transitions in the Digital Era by : Tunio, Muhammad Nawaz

Download or read book Frugal Innovation and Social Transitions in the Digital Era written by Tunio, Muhammad Nawaz and published by IGI Global. This book was released on 2022-12-09 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frugal innovation is considered a new source of innovation, mainly to meet the needs of low-income customers. Hence, frugal innovation has primarily been explored emphasizing affordability. The concept of frugal and social innovation is a new idea and requires perspectives from academicians, researchers, and organizations to reach its full potential. Frugal Innovation and Social Transitions in the Digital Era considers the social value of innovation, frugal innovation, and social innovation in society at local, national, and international levels and calls the attention of scholars and researchers around the globe to focus on the social perspectives and social patterns of human life and society. Covering key topics such as emerging technologies, entrepreneurship, and social change, this reference work is ideal for computer scientists, business owners, managers, policymakers, researchers, scholars, practitioners, instructors, and students.

Multidisciplinary Perspectives Towards Building a Digitally Competent Society

Author : Bansal, Sanjeev
Publisher : IGI Global
ISBN 13 : 1668452766
Total Pages : 338 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Multidisciplinary Perspectives Towards Building a Digitally Competent Society by : Bansal, Sanjeev

Download or read book Multidisciplinary Perspectives Towards Building a Digitally Competent Society written by Bansal, Sanjeev and published by IGI Global. This book was released on 2022-06-17 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is undergoing a transformation as technology enters every ecosystem. Subsequently, there is a need to develop higher-order digital skills to ensure one's employability as professionals need to build digital competencies to remain competitive in the current work environment. Additionally, businesses must also continue to update their digital practices in order to remain relevant. Multidisciplinary Perspectives Towards Building a Digitally Competent Society explores multidisciplinary perspectives towards building a more digitally competent society, considers new business models and the need for organizations and individuals to develop the right mindset to embrace digitalization, and discusses how social capital can become a key driver in crafting a whole new digitally competent social fabric. Covering topics such as technological transformation, social media, and corporate social responsibility, this reference work is ideal for corporate practitioners, business owners, policymakers, scholars, researchers, practitioners, instructors, and students.

Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0

Author : Ugliotti, Francesca Maria
Publisher : IGI Global
ISBN 13 : 1668448556
Total Pages : 765 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 by : Ugliotti, Francesca Maria

Download or read book Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 written by Ugliotti, Francesca Maria and published by IGI Global. This book was released on 2022-06-30 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on digital reality has been extensive in recent years, covering a wide range of topics and leading to new ways to approach and deal with complex situations. Within the Society 5.0 paradigm, people and machines establish a positive relationship to find solutions for social aspects and problems. This perspective establishes a strong interconnection between physical and virtual space, making the user an active player for better life and society. In these terms, digital systems and virtual and augmented reality technologies enable multi-dimensional scenarios and additional levels of interdisciplinary collaboration to create a highly inclusive communication network and social framework. The Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 provides an overview of methods, processes, and tools adopted to achieve super-smart society needs by exploiting digital reality and interactive technologies. It includes case studies that illustrate applications that place people’s quality of life at the center of the digitalization process, accessing and managing different information and data domains. Covering topics such as cultural heritage, interactive learning, and virtual participation, this major reference work is a comprehensive resource for business executives and managers, IT managers, government officials, community leaders, arts and performance organizers, healthcare administrators and professionals, faculty and administrators of both K-12 and higher education, students of higher education, researchers, and academicians.

Digital Psychology’s Impact on Business and Society

Author : Anshari, Muhammad
Publisher : IGI Global
ISBN 13 : 1668461102
Total Pages : 349 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Digital Psychology’s Impact on Business and Society by : Anshari, Muhammad

Download or read book Digital Psychology’s Impact on Business and Society written by Anshari, Muhammad and published by IGI Global. This book was released on 2022-12-19 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Individuals, businesses, organizations, and countries all benefit from having access to data. People who generate data do it voluntarily, forming their habits, patterns, and behaviors in the process. Their psychological characteristics will be better understood as a result of the data that they generate, allowing them to make intelligent decisions. Organizations are motivated by the desire to collect and analyze as much data as possible from the general public or future customers in order to better understand their psychological features and influence them to purchase their products or services. As a result, there has been a great deal of debate concerning the use of data from the perspectives of individuals, organizations, the public, and the government. Digital Psychology’s Impact on Business and Society considers the phenomena of digital psychology and society in general and evaluates individual strategies and those of businesses, organizations, and even nations. Covering topics such as big data, marketing, social media, and social computing, this reference work is ideal for policymakers, psychologists, business owners, managers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Societal Impacts of Artificial Intelligence and Machine Learning

Author : Carlo Lipizzi
Publisher : Springer Nature
ISBN 13 : 3031537475
Total Pages : 160 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Societal Impacts of Artificial Intelligence and Machine Learning by : Carlo Lipizzi

Download or read book Societal Impacts of Artificial Intelligence and Machine Learning written by Carlo Lipizzi and published by Springer Nature. This book was released on with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Societal Issues

Author : Anupam Biswas
Publisher : Springer Nature
ISBN 13 : 3031124197
Total Pages : 359 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Societal Issues by : Anupam Biswas

Download or read book Artificial Intelligence for Societal Issues written by Anupam Biswas and published by Springer Nature. This book was released on 2023-10-24 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.

Machine Learning, revised and updated edition

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262542528
Total Pages : 282 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning, revised and updated edition by : Ethem Alpaydin

Download or read book Machine Learning, revised and updated edition written by Ethem Alpaydin and published by MIT Press. This book was released on 2021-08-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use everyday, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin, author of a popular textbook on machine learning, explains that as "Big Data" has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence and Machine Learning in Public Healthcare

Author : KC Santosh
Publisher :
ISBN 13 : 9789811667695
Total Pages : 0 pages
Book Rating : 4.6/5 (676 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning in Public Healthcare by : KC Santosh

Download or read book Artificial Intelligence and Machine Learning in Public Healthcare written by KC Santosh and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Machine Learning and Big Data

Author : Uma N. Dulhare
Publisher : John Wiley & Sons
ISBN 13 : 1119654742
Total Pages : 544 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Big Data by : Uma N. Dulhare

Download or read book Machine Learning and Big Data written by Uma N. Dulhare and published by John Wiley & Sons. This book was released on 2020-09-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Author : Solanki, Arun
Publisher : IGI Global
ISBN 13 : 1522596453
Total Pages : 674 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Emerging Trends and Applications of Machine Learning by : Solanki, Arun

Download or read book Handbook of Research on Emerging Trends and Applications of Machine Learning written by Solanki, Arun and published by IGI Global. This book was released on 2019-12-13 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Artificial Intelligence and Machine Learning in Business Management

Author : Sandeep Kumar Panda
Publisher : CRC Press
ISBN 13 : 1000432114
Total Pages : 278 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning in Business Management by : Sandeep Kumar Panda

Download or read book Artificial Intelligence and Machine Learning in Business Management written by Sandeep Kumar Panda and published by CRC Press. This book was released on 2021-11-05 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

Machine Learning Paradigms

Author : George A. Tsihrintzis
Publisher : Springer
ISBN 13 : 9783030497262
Total Pages : 430 pages
Book Rating : 4.4/5 (972 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Paradigms by : George A. Tsihrintzis

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer. This book was released on 2021-07-25 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Machine Learning Paradigms

Author : George A. Tsihrintzis
Publisher : Springer
ISBN 13 : 9783030067779
Total Pages : 0 pages
Book Rating : 4.0/5 (677 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Paradigms by : George A. Tsihrintzis

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer. This book was released on 2018-12-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities. The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences. Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics. This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.

Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)

Author : Shakila Yacob
Publisher : Springer Nature
ISBN 13 : 2384761269
Total Pages : 2103 pages
Book Rating : 4.3/5 (847 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023) by : Shakila Yacob

Download or read book Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023) written by Shakila Yacob and published by Springer Nature. This book was released on 2023-12-01 with total page 2103 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. ISEMSS 2023 was held on July 14–16, 2023 in Kunming, China. And provide a platform for scholars in related fields to exchange ideas and: Develop and advance social development through the study and application of certain social issues. Open up new perspectives and broaden the horizons of looking at issues in the discussions of the participants. Create a forum for sharing, research, and exchange on an international level, allowing participants to learn about the latest research directions, results, and content in different fields thus stimulating them to new research ideas. Papers on Education, Management and Social Sciences will be accepted and published in the form of conference proceedings for those who cannot attend the conference.