Reverse Hypothesis Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reverse Hypothesis Machine Learning write by Parag Kulkarni. This book was released on 2017-03-30. Reverse Hypothesis Machine Learning available in PDF, EPUB and Kindle. 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
Choice Computing: Machine Learning and Systemic Economics for Choosing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Choice Computing: Machine Learning and Systemic Economics for Choosing write by Parag Kulkarni. This book was released on 2022-08-28. Choice Computing: Machine Learning and Systemic Economics for Choosing available in PDF, EPUB and Kindle. 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.
AI, Consciousness and The New Humanism
AI, Consciousness and The New Humanism - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI, Consciousness and The New Humanism write by Sangeetha Menon. This book was released on . AI, Consciousness and The New Humanism available in PDF, EPUB and Kindle.
Explainable, Interpretable, and Transparent AI Systems
Explainable, Interpretable, and Transparent AI Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explainable, Interpretable, and Transparent AI Systems write by B. K. Tripathy. This book was released on 2024-08-23. Explainable, Interpretable, and Transparent AI Systems available in PDF, EPUB and Kindle. 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.
Proceedings of the 2nd International Conference on Data Engineering and Communication Technology
Proceedings of the 2nd International Conference on Data Engineering and Communication Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Proceedings of the 2nd International Conference on Data Engineering and Communication Technology write by Anand J. Kulkarni. This book was released on 2018-10-03. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology available in PDF, EPUB and Kindle. 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.
