Reverse Hypothesis Machine Learning
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Reverse Hypothesis Machine Learning
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Author : Parag Kulkarni
language : en
Publisher: Springer
Release Date : 2017-03-30
Reverse Hypothesis Machine Learning written by Parag Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Technology & Engineering categories.
This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same—the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.
Choice Computing Machine Learning And Systemic Economics For Choosing
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Author : Parag Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2022-08-28
Choice Computing Machine Learning And Systemic Economics For Choosing written by Parag Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-28 with Technology & Engineering categories.
This book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products – help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.
Explainable Interpretable And Transparent Ai Systems
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Author : B. K. Tripathy
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Explainable Interpretable And Transparent Ai Systems written by B. K. Tripathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Technology & Engineering categories.
Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains. Features: Presents a clear focus on the application of explainable AI systems while tackling important issues of “interpretability” and “transparency”. Reviews adept handling with respect to existing software and evaluation issues of interpretability. Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. Focuses on interpreting black box models like feature importance and accumulated local effects. Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.
Ai Consciousness And The New Humanism
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Author : Sangeetha Menon
language : en
Publisher: Springer Nature
Release Date : 2024-03-20
Ai Consciousness And The New Humanism written by Sangeetha Menon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Philosophy categories.
This edited volume presents perspectives from computer science, information theory, neuroscience and brain imaging, aesthetics, social sciences, psychiatry, and philosophy to answer frontier questions related to artificial intelligence and human experience. Can a machine think, believe, aspire and be purposeful as a human? What is the place in the machine world for hope, meaning and transformative enlightenment that inspires human existence? How, or are, the minds of machines different from that of humans and other species? These questions are responded to along with questions in the intersection of health, intelligence and the brain. It highlights the place of consciousness by attempting to respond to questions with the help of fundamental reflections on human existence, its life-purposes and machine intelligence. The volume is a must-read for interdisciplinary and multidisciplinary researchers in humanities and social sciences and philosophy of science who wish to understand the future of AI and society.
Proceedings Of The 2nd International Conference On Data Engineering And Communication Technology
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Author : Anand J. Kulkarni
language : en
Publisher: Springer
Release Date : 2018-10-03
Proceedings Of The 2nd International Conference On Data Engineering And Communication Technology written by Anand J. Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.
Adversarial Machine Learning
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Author : Anthony D. Joseph
language : en
Publisher: Cambridge University Press
Release Date : 2019-02-21
Adversarial Machine Learning written by Anthony D. Joseph and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.
This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.
Transformation In Health Care
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Author : Pantea Pape
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Transformation In Health Care written by Pantea Pape and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This edited book discusses the new technologies and innovations on the horizon. Transformation in healthcare is often focused on technology and digitalization, but it's always a combination of technology and humans, akin to a team play. How can digitalization in healthcare propel us forward, and what types of interactions with teams and patients are possible in the future? The transformative nature of new technologies, products, services, procedures, and organizations will shape the future of healthcare and business models. The book also explains why management skills must be developed to meet the needs of customers and patients in the upcoming decade.
A Research Agenda For Hr Analytics
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Author : Vicenc Fernandez
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-12-09
A Research Agenda For Hr Analytics written by Vicenc Fernandez and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Business & Economics categories.
This Research Agenda explores the crucial role of HR analytics in modern organizations, examining diverse methodologies, data sources and ethical considerations. It demonstrates how HR analytics can be used to navigate the complex challenges of digital transformation and implementing data-driven practices in human resource management.
Human Machine Updated And Expanded
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Author : Paul R. Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2024-09-10
Human Machine Updated And Expanded written by Paul R. Daugherty and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-10 with Computers categories.
AI—including generative AI—is radically transforming business. Are you ready? Accenture technology leaders Paul Daugherty and Jim Wilson provide crucial insights and advice to help you meet the challenge. Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now—in software that senses what we need, supply chains that "think" in real time, and now generative AI that is radically reshaping work and productivity. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Accenture technology leaders Paul Daugherty and Jim Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them. Based on the authors' experience and research with fifteen hundred organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability and what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader's guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in the new age of AI.
Machine Learning In Translation
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Author : Peng Wang
language : en
Publisher: Taylor & Francis
Release Date : 2023-04-12
Machine Learning In Translation written by Peng Wang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Language Arts & Disciplines categories.
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.