Ai Algorithms Foundations Applications And Advancements
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Ai Algorithms Foundations Applications And Advancements
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Ai Algorithms Foundations Applications And Advancements written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This comprehensive volume offers an in-depth exploration of artificial intelligence algorithms, structured into five core parts. Beginning with foundational concepts, it introduces symbolic and statistical AI, emphasizing mathematical underpinnings such as linear algebra, probability, and optimization. Classical AI techniques like search algorithms and constraint satisfaction are explored in depth before transitioning into the domain of machine learning. In supervised and unsupervised learning chapters, readers gain insights into regression, classification, clustering, and dimensionality reduction. More advanced topics such as ensemble methods, neural networks—including CNNs, RNNs, and transformers—are detailed with practical and theoretical rigor. Reinforcement learning is examined through frameworks like MDPs, Q-learning, and policy gradients. The book further delves into evolutionary and probabilistic algorithms, detailing genetic strategies, swarm intelligence, Bayesian networks, and Monte Carlo methods. Applications in natural language processing and computer vision—covering chatbots, object detection, and GANs—are presented with modern techniques like AutoML, neural architecture search, and transfer learning. A dedicated section on applications and ethics discusses real-world AI use in healthcare, finance, and robotics, along with the challenges of bias, explainability, and governance. Finally, the book explores future directions: the quest for AGI, the promise of quantum AI, and the transformative impact of AI on labor and society. Balancing technical depth with clarity, this book serves as a valuable resource for students, practitioners, and researchers seeking a robust understanding of both the fundamentals and frontiers of AI.
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges
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Author : Ilaria Tiddi
language : en
Publisher:
Release Date : 2020
Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges written by Ilaria Tiddi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.
Artificial Intelligence And Machine Learning Fundamentals
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Author : Zsolt Nagy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-12
Artificial Intelligence And Machine Learning Fundamentals written by Zsolt Nagy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Artificial Intelligence Foundations Applications And Future Directions
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Author : Ahmet Gürkan YÜKSEK•
language : en
Publisher: Livre de Lyon
Release Date : 2025-03-23
Artificial Intelligence Foundations Applications And Future Directions written by Ahmet Gürkan YÜKSEK• and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Computers categories.
Fundamentals Of Artificial Intelligence
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Author : K.R. Chowdhary
language : en
Publisher: Springer Nature
Release Date : 2020-04-04
Fundamentals Of Artificial Intelligence written by K.R. Chowdhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-04 with Computers categories.
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Artificial Intelligence Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-12-12
Artificial Intelligence Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.
The Big Five Trait Theory Foundations Applications And Implications
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Author : KHRITISH SWARGIARY
language : en
Publisher: LAP
Release Date : 2024-04-01
The Big Five Trait Theory Foundations Applications And Implications written by KHRITISH SWARGIARY and has been published by LAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Education categories.
The Big Five Trait Theory stands out for its empirical robustness, practical applications, and cross-cultural relevance. This book aims to provide a comprehensive exploration of the Big Five Trait Theory, delving into its foundations, empirical evidence, applications, and implications. The journey of writing this book has been both intellectually stimulating and profoundly enlightening. It began with a deep curiosity about the underpinnings of human behavior and an appreciation for the diverse approaches to studying personality. As the research unfolded, the Big Five Trait Theory emerged as a particularly compelling framework, offering insights not only into individual differences but also into the broader patterns that characterize human personality across various contexts and cultures. This book is structured to cater to a wide audience, including students, researchers, educators, clinicians, and anyone interested in the science of personality. Part I lays the theoretical groundwork, tracing the historical development of the Big Five and detailing each of the five major traits. Part II presents the wealth of empirical research supporting the theory, highlighting studies from diverse cultural and methodological backgrounds. Part III focuses on the practical applications of the Big Five in areas such as workplace dynamics, education, and interpersonal relationships. Part IV expands on the broader implications of the theory for health, well-being, and societal functioning. Finally, Part V addresses advances, criticisms, and future directions in personality research. The writing of this book has benefited greatly from the contributions of many individuals. I am deeply grateful to my colleagues and mentors for their invaluable insights and feedback, which have significantly enriched the content and scope of this work. Special thanks go to Miss Kavita Roy and the faculty of the Etech Research Association (US) for their guidance and support. I also wish to acknowledge the inspiration drawn from the pioneering work of researchers in the field of personality psychology, whose dedication and scholarship have laid the foundation for this book. In creating this comprehensive resource on the Big Five Trait Theory, my hope is to provide readers with a thorough understanding of this influential model, inspiring further inquiry and application in both academic and practical realms. Personality traits profoundly influence our lives, shaping our actions, relationships, and overall well-being. By understanding these traits, we can better appreciate the complexities of human behavior and foster environments that promote personal growth and harmony. I invite you to explore the following chapters with an open mind and a critical eye, as we embark on this journey through the fascinating landscape of personality psychology. May this book serve as a valuable resource and a catalyst for continued exploration and discovery in the field of personality research.
Advances In Artificial General Intelligence
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Author : Ben Goertzel
language : en
Publisher: IOS Press
Release Date : 2007
Advances In Artificial General Intelligence written by Ben Goertzel and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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 In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.