Handbook Of Mathematical And Digital Engineering Foundations For Artificial Intelligence

Download Handbook Of Mathematical And Digital Engineering Foundations For Artificial Intelligence full books in PDF, epub, and Kindle. Read online Handbook Of Mathematical And Digital Engineering Foundations For Artificial Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

Author : Adedeji B. Badiru
Publisher : CRC Press
ISBN 13 : 1000899675
Total Pages : 418 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence by : Adedeji B. Badiru

Download or read book Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence written by Adedeji B. Badiru and published by CRC Press. This book was released on 2023-06-29 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques. Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI. This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques. The recent developments and emergence of Chatbots (AI tools) all have mathematical foundations for their efficacy. Such AI tools include ChatGPT, GPT-4, Bard, Tidio Support Bot, Kuki AI Companion, Meena, BlenderBot, Rose AI Chatbot, Replika: AI Friend, Eviebot, and Tay. This handbook highlights the importance of mathematical and digital foundations for AI developments. The handbook will enhance the understanding and appreciation of readers about the prevailing wave of artificial intelligence products, and, thereby, fitting the current market needs.

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

Author : Adedeji B. Badiru
Publisher : CRC Press
ISBN 13 : 1000899624
Total Pages : 399 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence by : Adedeji B. Badiru

Download or read book Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence written by Adedeji B. Badiru and published by CRC Press. This book was released on 2023-06-29 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques. Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI. This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques. The recent developments and emergence of Chatbots (AI tools) all have mathematical foundations for their efficacy. Such AI tools include ChatGPT, GPT-4, Bard, Tidio Support Bot, Kuki AI Companion, Meena, BlenderBot, Rose AI Chatbot, Replika: AI Friend, Eviebot, and Tay. This handbook highlights the importance of mathematical and digital foundations for AI developments. The handbook will enhance the understanding and appreciation of readers about the prevailing wave of artificial intelligence products, and, thereby, fitting the current market needs.

Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence

Author : Adedeji Bodunde Badiru
Publisher :
ISBN 13 : 9781032161822
Total Pages : 0 pages
Book Rating : 4.1/5 (618 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence by : Adedeji Bodunde Badiru

Download or read book Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence written by Adedeji Bodunde Badiru and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques.

Mathematics for Machine Learning

Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
ISBN 13 : 1108569323
Total Pages : 392 pages
Book Rating : 4.1/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries

Author : Shmelova, Tetiana
Publisher : IGI Global
ISBN 13 : 1799814173
Total Pages : 517 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries by : Shmelova, Tetiana

Download or read book Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries written by Shmelova, Tetiana and published by IGI Global. This book was released on 2019-10-11 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of smart technology and automated systems in today’s world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. The Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.

Mathematical Methods in Artificial Intelligence

Author : Edward A. Bender
Publisher : Wiley-IEEE Computer Society Press
ISBN 13 : 9780818672002
Total Pages : 0 pages
Book Rating : 4.6/5 (72 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Methods in Artificial Intelligence by : Edward A. Bender

Download or read book Mathematical Methods in Artificial Intelligence written by Edward A. Bender and published by Wiley-IEEE Computer Society Press. This book was released on 1996-02-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This useful text presents an introductory AI course based on the most important mathematics and its applications. It focuses on important topics that are proven useful in AI and involve the most broadly applicable mathematics. The book explores AI from three different viewpoints: goals, methods or tools, and achievements and failures. Its goals of reasoning, planning, learning, or language understanding and use are centered around the expert system idea. The tools of AI are presented in terms of what can be incorporated in the data structures. The book looks into the concepts and tools of limited structure, mathematical logic, logic-like representation, numerical information, and nonsymbolic structures. The text emphasizes the main mathematical tools for representing and manipulating knowledge symbolically. These are various forms of logic for qualitative knowledge, and probability and related concepts for quantitative knowledge. The main tools for manipulating knowledge nonsymbolically, as neural nets, are optimization methods and statistics. This material is covered in the text by topics such as trees and search, classical mathematical logic, and uncertainty and reasoning. A solutions diskette is available, please call for more information.

Mathematical Methods for Artificial Intelligence and Autonomous Systems

Author : Edward R. Dougherty
Publisher :
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Methods for Artificial Intelligence and Autonomous Systems by : Edward R. Dougherty

Download or read book Mathematical Methods for Artificial Intelligence and Autonomous Systems written by Edward R. Dougherty and published by . This book was released on 1988 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Lion Way

Author : Roberto Battiti
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781496034021
Total Pages : 0 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis The Lion Way by : Roberto Battiti

Download or read book The Lion Way written by Roberto Battiti and published by Createspace Independent Publishing Platform. This book was released on 2014-02-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits. LION's adoption will create a prairie fire of innovation which will reach most businesses in the next decades. Businesses, like plants in wildfire-prone ecosystems, will survive and prosper by adapting and embracing LION techniques, or they risk being transformed from giant trees to ashes by the spreading competition.

Handbook of Collective Intelligence

Author : Thomas W. Malone
Publisher : MIT Press
ISBN 13 : 0262545845
Total Pages : 230 pages
Book Rating : 4.2/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Collective Intelligence by : Thomas W. Malone

Download or read book Handbook of Collective Intelligence written by Thomas W. Malone and published by MIT Press. This book was released on 2022-06-07 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts describe the latest research in a rapidly growing multidisciplinary field, the study of groups of individuals acting collectively in ways that seem intelligent. Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent. In recent years, a new kind of collective intelligence has emerged: interconnected groups of people and computers, collectively doing intelligent things. Today these groups are engaged in tasks that range from writing software to predicting the results of presidential elections. This volume reports on the latest research in the study of collective intelligence, laying out a shared set of research challenges from a variety of disciplinary and methodological perspectives. Taken together, these essays—by leading researchers from such fields as computer science, biology, economics, and psychology—lay the foundation for a new multidisciplinary field. Each essay describes the work on collective intelligence in a particular discipline—for example, economics and the study of markets; biology and research on emergent behavior in ant colonies; human-computer interaction and artificial intelligence; and cognitive psychology and the “wisdom of crowds” effect. Other areas in social science covered include social psychology, organizational theory, law, and communications. Contributors Eytan Adar, Ishani Aggarwal, Yochai Benkler, Michael S. Bernstein, Jeffrey P. Bigham, Jonathan Bragg, Deborah M. Gordon, Benjamin Mako Hill, Christopher H. Lin, Andrew W. Lo, Thomas W. Malone, Mausam, Brent Miller, Aaron Shaw, Mark Steyvers, Daniel S. Weld, Anita Williams Woolley

Handbook of Knowledge Representation

Author : Frank van Harmelen
Publisher : Elsevier
ISBN 13 : 0080557023
Total Pages : 1035 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1035 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Handbook of Research on Computational Intelligence for Engineering, Science, and Business

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1466625198
Total Pages : 535 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Computational Intelligence for Engineering, Science, and Business by : Bhattacharyya, Siddhartha

Download or read book Handbook of Research on Computational Intelligence for Engineering, Science, and Business written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2012-11-30 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.

Understanding Machine Learning

Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Which Degree Guide

Author :
Publisher :
ISBN 13 :
Total Pages : 604 pages
Book Rating : 4.:/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Which Degree Guide by :

Download or read book Which Degree Guide written by and published by . This book was released on 2001 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Neural Networks

Author : Tarun Khanna
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 212 pages
Book Rating : 4.4/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Neural Networks by : Tarun Khanna

Download or read book Foundations of Neural Networks written by Tarun Khanna and published by Addison Wesley Publishing Company. This book was released on 1990 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0

Author : Dubey, Archi
Publisher : IGI Global
ISBN 13 :
Total Pages : 468 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 by : Dubey, Archi

Download or read book Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 written by Dubey, Archi and published by IGI Global. This book was released on 2024-07-18 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with these demands, often leading to inefficiencies and suboptimal outcomes. Integrating digital twin technology presents a promising solution to these challenges, offering a virtual platform for modeling and simulating complex healthcare scenarios. However, the full potential of digital twins still needs to be explored mainly due to a lack of comprehensive guidance and practical insights for researchers and practitioners. Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 is not just a theoretical exploration. It is a practical guide that bridges the gap between theory and practice, offering real-world case studies, best practices, and insights into personalized medicine, real-time patient monitoring, and healthcare process optimization. By equipping you with the knowledge and tools needed to effectively integrate digital twins into your healthcare research and operations, this book is a valuable resource for researchers, academicians, medical practitioners, scientists, and students.

British Qualifications 2020

Author : Kogan Page Editorial
Publisher : Kogan Page Publishers
ISBN 13 : 0749497416
Total Pages : 724 pages
Book Rating : 4.7/5 (494 download)

DOWNLOAD NOW!

Book Synopsis British Qualifications 2020 by : Kogan Page Editorial

Download or read book British Qualifications 2020 written by Kogan Page Editorial and published by Kogan Page Publishers. This book was released on 2019-12-03 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its 50th edition, British Qualifications 2020 is the definitive one-volume guide to every recognized qualification on offer in the United Kingdom. With an equal focus on both academic and professional vocational studies, this indispensable guide has full details of all institutions and organizations involved in the provision of further and higher education, making it the essential reference source for careers advisers, students, and employers. It also contains a comprehensive and up-to-date description of the structure of further and higher education in the UK, including an explanation of the most recent education reforms, providing essential context for the qualifications listed. British Qualifications 2020 is compiled and checked annually to ensure the highest currency and accuracy of this valuable information. Containing details on the professional vocational qualifications available from over 350 professional institutions and accrediting bodies, informative entries for all UK academic universities and colleges, and a full description of the current structural and legislative framework of academic and vocational education, it is the complete reference for lifelong learning and continuing professional development in the UK.

Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem

Author : Dominique J Monlezun
Publisher : Elsevier
ISBN 13 : 0443215960
Total Pages : 277 pages
Book Rating : 4.4/5 (432 download)

DOWNLOAD NOW!

Book Synopsis Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem by : Dominique J Monlezun

Download or read book Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem written by Dominique J Monlezun and published by Elsevier. This book was released on 2024-06-07 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world's first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity's next era. - Details the first comprehensive ecosystem analysis of global public health revolutionized by AI. - Uses concrete examples to explain the dominant players and trends determining health's future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics. - Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.