Essentials of Artificial Intelligence

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Author : Matthew L. Ginsberg
Genre : ARTIFICIAL INTELLIGENCE

Summary : Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.

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Author : Reinier van den Biggelaar
Genre : Architecture

Summary : The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: · The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. · The AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. · The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.

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Author : William Hawkins
Genre : Computers

Summary : This is a comprehensive exploration into the world of Artificial Intelligence, designed to bridge the gap between theoretical concepts and practical, real-world applications. This book unravels the mystique of AI, breaking down its components into understandable elements. From the early dawn of AI's inception to its current state of rapid evolution, we cover the essential building blocks necessary for leveraging AI in business, and personal development, and understanding its broader impacts on society. Through an engaging conversational format, readers are guided through the intricacies of AI, covering topics such as machine learning, AI governance,, data security, and the ethical challenges facing AI today. This book is an invaluable resource for those looking to understand the fundamentals of AI, its practical applications, and its significant implications for the future. After reading this book, you will be able to integrate AI into your business strategies and learn the intricacies of AI advancements. What You Will Learn: Key concepts and definitions within AI, including types of AI, machine learning, and neural networks and how they are utilized in AI apps like M365 Copilot Practical applications of AI for personal and business growth, focusing on the pillars of using AI to evolve these fronts effectively and sustainably How AI is transforming businesses and what organizational shifts must be made to realize the value Navigating the challenges and ethical considerations in AI to ensure informed and responsible usage Who This Book Is For: Professionals looking to integrate AI into their business strategies or organizations.

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Author : Kyle Lindemann
Genre : Business & Economics

Summary : Unlock the Power of AI-Even If You're Not Tech-Savvy! Are you curious about Artificial Intelligence but feel overwhelmed by all the jargon? Worried about keeping up with AI's rapid advancements and how they might affect your job or industry? Or do you simply want to make smarter decisions by understanding AI's incredible potential in everyday life? Good news: AI isn't just for coders and tech experts-it's for everyone. AI Essentials for Beginners is your step-by-step, jargon-free guide to understanding and leveraging AI without needing a technical background. Whether you're a busy professional, entrepreneur, student, or simply someone eager to future-proof your skills, this book breaks AI down into easy-to-digest concepts and practical applications you can start using right away. If you've ever thought "AI is too complex for me"-this book will prove you wrong. It's time to stop fearing AI and start using it to your advantage! In this book, you'll find actionable insights, relatable examples, and explanations that demystify and simplify even the most intimidating aspects of AI. It's time to dispel the myth that AI is only for tech wizards. Get ready to unleash the power within your grasp, no matter your age or professional background.

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Author : Mohamed Makki
Genre :

Summary : "AI Essential" Introduction: Hello and Welcome to the fascinating world of Artificial Intelligence (AI)! This book offers a clear and concise exploration of AI, delving into its core concepts, applications, and ethical considerations. We will begin by understanding what AI is and uncover its intriguing history. Unveiling the Core: Machine learning (ML) forms the backbone of AI, empowering machines to learn and improve without explicit programming. We will delve into the fascinating world of ML, exploring how it works through real-world examples. Next, we will encounter neural networks, inspired by the structure and function of the human brain. These intricate networks allow machines to process information in a comparable way, leading to remarkable capabilities. Deep learning, a subset of ML, leverages powerful neural networks with multiple layers. This enables machines to tackle complex tasks like image recognition and natural language processing with exceptional accuracy. The book will unveil the exciting potential of Artificial General Intelligence (AGI), a hypothetical future where machines possess higher levels of intelligence. Intelligent Systems: We will explore the concept of intelligent agents, which are systems that can perceive their environment, reason, and take actions to achieve goals. Natural Language Processing (NLP) empowers machines to understand and respond to human language. Computer vision, another branch of AI, enables machines to "see" and interpret the visual world. This technology has revolutionized various fields, from self-driving cars to medical diagnostics. The Ethical Landscape of AI: As AI continues to evolve, ethical considerations become paramount. We will discuss the importance of responsible AI development, addressing issues like bias, security, privacy, and potential job displacement in the age of automation. AI in Robotics: The constructive collaboration between AI and Robotics is transforming industries. We will delve into various applications, including robot-assisted surgery, navigation and teleoperation, socially assistive robots, human-robot collaboration, and quality assurance powered by AI. Search Algorithms: Search algorithms are the cornerstone of AI, empowering machines to find solutions efficiently. We will explore traditional and advanced search algorithms, highlighting how they contribute to AI's remarkable capabilities. Understanding Knowledge Representation and Reasoning (KRR) in AI: Knowledge representation and reasoning (KRR) is a crucial aspect of AI, allowing machines to encode and manipulate knowledge to solve problems. We will explore how KRR works and its significance in various AI applications. The Role of Explainable AI (XAI): Transparency is vital in AI systems. Explainable AI (XAI) helps us understand how AI arrives at its decisions, fostering trust and enabling responsible development. Large Language Models and Generative AI: Large language models (LLMs) are a type of AI that processes and generates human-like text. We will explore the close relationship between LLMs and generative AI, a technology with the potential to revolutionize content creation. Conclusion: As we conclude our exploration of AI, we will ponder its potential impact on the future. The book emphasizes the importance of responsible AI development, ensuring this technology benefits humanity.

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Author : Atwater Publishing
Genre : Computers

Summary : Learn AI the easy way-no coding, no jargon! AI Essentials for Beginners explains how artificial intelligence works in daily life with clear visuals, simple examples, and step-by-step lessons anyone can understand.

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Author : Yamijala Satya Prakash
Genre : Antiques & Collectibles

Summary : The rapid advancement of Artificial Intelligence (AI) is transforming the way individuals, industries, and societies operate across the globe. From intelligent virtual assistants and recommendation systems to autonomous technologies and predictive analytics, AI has become one of the most influential and revolutionary domains in modern science and technology. The growing integration of AI into healthcare, education, finance, manufacturing, cybersecurity, transportation, and communication has created a strong need for a clear and comprehensive understanding of its concepts, techniques, and real-world applications. The book Artificial Intelligence Essentials has been carefully designed to provide readers with a strong foundation in the principles and practices of Artificial Intelligence. This book aims to bridge the gap between theoretical understanding and practical implementation by presenting AI concepts in a simple, structured, and accessible manner. It is intended for undergraduate and postgraduate students, researchers, academicians, and professionals who wish to explore the fascinating world of intelligent systems. The chapters of this book cover a broad range of essential AI topics, including the fundamentals of artificial intelligence, machine learning concepts, neural networks, natural language processing, computer vision, intelligent agents, data analytics, ethical considerations in AI, and emerging trends in intelligent technologies. Each chapter is written with clarity and supported by examples, illustrations, and practical insights to help readers develop analytical and problem-solving skills in the field of AI. This book is the result of the combined academic, research, and industry experiences of the authors, who have worked diligently to make the content informative, relevant, and learner-friendly. Special attention has been given to presenting complex concepts in an understandable format while maintaining academic rigor and technical depth. The authors sincerely hope that this book will serve as a valuable resource for students, educators, and professionals seeking to build knowledge and expertise in Artificial Intelligence. We believe that understanding AI is essential for shaping the future of innovation and technological progress, and we hope this book inspires readers to further explore and contribute to this exciting field. We express our heartfelt gratitude to all colleagues, mentors, institutions, researchers, and well-wishers whose encouragement and support contributed to the successful completion of this work. We also thank the readers for their interest and trust in this book. Authors Mr. Yamijala Satya Prakash Dr. Tanvi Trivedi Mrs. Ganga Ramanathan Dr. Dibya Jyoti Bora