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Author : Robert I. Levine
Publisher : McGraw-Hill Companies
ISBN 13 : 9780070374706
Total Pages : 276 pages
Book Rating : 4.3/5 (747 download)
Download or read book A Comprehensive Guide to AI and Expert Systems written by Robert I. Levine and published by McGraw-Hill Companies. This book was released on 1986 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert I. Levine
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.3/5 (91 download)
Download or read book A Comprehensive Guide to AI and Expert Systems Using Turbo Pascal written by Robert I. Levine and published by McGraw-Hill Companies. This book was released on 1988 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and explains the concepts of artificial intelligence and expert systems in a language that everyone can understnand. You don't need any mathematical expertise, and even if your knowledge of computers is small, you will still learn a great deal about this vital new area of computer engineering.
Author : Robert Levine
Publisher :
ISBN 13 : 9780070374997
Total Pages : pages
Book Rating : 4.3/5 (749 download)
Download or read book Ai and Expert Systems written by Robert Levine and published by . This book was released on 1990-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert I. Levine
Publisher :
ISBN 13 : 9780071126830
Total Pages : 0 pages
Book Rating : 4.1/5 (268 download)
Download or read book AI and Expert Systems written by Robert I. Levine and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert I. Levine
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.3/5 (91 download)
Download or read book AI and Expert Systems written by Robert I. Levine and published by McGraw-Hill Companies. This book was released on 1990 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Neil Wilkins
Publisher : Independently Published
ISBN 13 : 9781092879675
Total Pages : 214 pages
Book Rating : 4.8/5 (796 download)
Download or read book Artificial Intelligence written by Neil Wilkins and published by Independently Published. This book was released on 2019-04-06 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading Two manuscripts in one book: Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today. In part 1 of this book, you will: Understand how machines can "think" and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the "brains" of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! Some of the topics covered in part 2 of this book include: Origins of IoT IoT Security Ethical Hacking Internet of Things Under The Cushy Foot of Tech Giants The Power of Infinite Funds IoT Toys Bio-robotics Predictive Analytics Machine Learning Artificial Intelligence Cybersecurity Big Data Business Intelligence Augmented Reality Virtual Reality Our Future And much, much more If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"!
Author : Matevos Ghazaryan
Publisher : Matevos Ghazaryan
ISBN 13 :
Total Pages : 285 pages
Book Rating : 4./5 ( download)
Download or read book AI in the business written by Matevos Ghazaryan and published by Matevos Ghazaryan. This book was released on 2024-03-24 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the transformative world of Artificial Intelligence (AI) with this comprehensive guide, which demystifies AI for readers of all backgrounds. Whether you're a curious newcomer, a seasoned professional, or someone in between, this book offers a panoramic view of AI's significance in our modern world, its foundational concepts, technological advancements, and its profound impact on our future. "Exploring Artificial Intelligence: A Comprehensive Guide to AI's Impact and Future" begins with an engaging preface that sets the stage for a deep dive into AI's essence, starting with its basic concepts, historical milestones, and evolutionary journey. The book unravels the complex tapestry of AI technologies and tools, providing readers with a clear understanding of key developments that have shaped AI into the powerhouse it is today. Part I of the book lays the groundwork by elucidating AI's fundamental principles. It offers a detailed exploration of its origins and the pivotal technologies that drive AI development. From machine learning to neural networks, get acquainted with the building blocks of AI and the tools that bring AI applications to life. Part II shifts focus to AI in practice, showcasing real-world applications and the transformative potential of AI across various industries. From enhancing business operations to revolutionizing healthcare and beyond, this section illustrates how AI is integrated into daily life and making an indelible mark on society. Part III delves into AI's societal impacts, addressing rapid AI advancement's ethical and societal implications. It navigates AI's challenges and opportunities, fostering a critical understanding of how AI influences ethical considerations, privacy, employment, and social justice. Part IV looks ahead to the future, preparing readers for an AI-driven world. It discusses the skills, knowledge, and adaptations necessary to thrive in an increasingly automated society. This forward-looking section speculates on emerging trends and potential directions of AI technology, emphasizing the importance of ongoing research, ethical development, and policy-making. The book's conclusion offers a reflective summary and a call to action, encouraging readers to engage with AI technology thoughtfully and responsibly. It underscores the need for a collective effort to shape an AI-enhanced future that is inclusive, ethical, and beneficial for all. "Exploring Artificial Intelligence: A Comprehensive Guide to AI's Impact and Future" is not just a book; it's an invitation to participate in the ongoing conversation about AI. It provides the tools, knowledge, and perspective to navigate the AI landscape with confidence, curiosity, and a sense of responsibility. With this enlightening guide, embrace the journey into AI and prepare to be amazed by AI's possibilities for our future.
Author : Michael Negnevitsky
Publisher : Pearson Education
ISBN 13 : 9780321204660
Total Pages : 454 pages
Book Rating : 4.2/5 (46 download)
Download or read book Artificial Intelligence written by Michael Negnevitsky and published by Pearson Education. This book was released on 2005 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)
Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Author : VijayP. Bhatkar
Publisher : Routledge
ISBN 13 : 1351454706
Total Pages : 726 pages
Book Rating : 4.3/5 (514 download)
Download or read book Distributed Computer Control Systems in Industrial Automation written by VijayP. Bhatkar and published by Routledge. This book was released on 2017-11-22 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reference guide for professionals or text for graduate and postgraduate students, this volume emphasizes practical designs and applications of distributed computer control systems. It demonstrates how to improve plant productivity, enhance product quality, and increase the safety, reliability, and
Author : Marlene A. Palmer
Publisher : IGI Global
ISBN 13 : 9781878289032
Total Pages : 170 pages
Book Rating : 4.2/5 (89 download)
Download or read book Expert Systems and Related Topics written by Marlene A. Palmer and published by IGI Global. This book was released on 1990-01-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.
Author : Donald Arthur Waterman
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.:/5 (43 download)
Download or read book A Guide to Expert Systems written by Donald Arthur Waterman and published by Addison Wesley Publishing Company. This book was released on 1986 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: A boy & his grandparents live near a cursed wood. the boy longs for a dog - but the ungainly creature found by his grandfatherhardly fits his image of the perfect pet. But then the dog starts to grow human ears!
Author : Dr. Prakash Arumugam
Publisher : Inkbound Publishers
ISBN 13 : 8196822308
Total Pages : 291 pages
Book Rating : 4.1/5 (968 download)
Download or read book The Algorithmic Odyssey - A Comprehensive Guide to AI Research written by Dr. Prakash Arumugam and published by Inkbound Publishers. This book was released on 2021-02-10 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on an extraordinary journey through the cutting-edge world of artificial intelligence with The Algorithmic Odyssey. This comprehensive guide serves as both a map and a compass for navigating the complex and rapidly evolving landscape of AI research. From the foundational principles of machine learning to the latest advancements in neural networks, this book offers a detailed exploration of the algorithms that are reshaping our world. Whether you are a seasoned researcher, a curious student, or a tech enthusiast, The Algorithmic Odyssey provides invaluable insights into the methodologies, challenges, and breakthroughs that define contemporary AI research. Discover the intricacies of supervised and unsupervised learning, delve into the depths of deep learning, and understand the transformative impact of reinforcement learning. Each chapter is meticulously crafted to offer clear explanations, practical examples, and thought-provoking discussions, making complex concepts accessible without sacrificing depth. Beyond the technicalities, The Algorithmic Odyssey also addresses the ethical, societal, and philosophical implications of AI. What does it mean to create intelligent systems? How do we ensure that these technologies benefit humanity? These questions and more are explored with rigor and sensitivity, encouraging readers to think critically about the future of AI. With contributions from leading experts in the field and a wealth of resources for further study, The Algorithmic Odyssey is an essential addition to the library of anyone passionate about the future of technology and its impact on our world. Join us on this odyssey and unlock the mysteries of artificial intelligence.
Author : L. Johnson
Publisher : CRC Press
ISBN 13 : 9780856264467
Total Pages : 202 pages
Book Rating : 4.2/5 (644 download)
Download or read book Expert Systems Technology written by L. Johnson and published by CRC Press. This book was released on 1985 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Konstantin V Titov
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (741 download)
Download or read book Introduction to Artificial Intelligence written by Konstantin V Titov and published by Independently Published. This book was released on 2024-01-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Definition and History of AI: Explore the origins and evolution of AI, from its humble beginnings to its current transformative impact. Types of AI: Delve into the different types of AI, from Narrow AI and General AI to the intriguing realm of Superintelligent AI. Data's Crucial Role: Understand the importance of data in AI, its various types (Structured, Unstructured, Semi-Structured), and how it drives AI innovation. Fundamentals of Machine Learning: Uncover the core concepts of machine learning, from Supervised vs. Unsupervised Learning to Reinforcement Learning and Common Algorithms. Neural Networks and Deep Learning: Learn the basics of neural networks, explore the power of deep learning, and grasp the significance of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Natural Language Processing (NLP): Gain insights into how AI understands language, including Sentiment Analysis, Chatbots, and Translation. Computer Vision: Discover the wonders of image recognition and object detection, along with the intricacies of Facial Recognition Technology. Robotics and Autonomous Systems: Explore AI's role in robotics, from AI-driven robots to self-driving cars and drones. Ethical Considerations: Delve into the ethical aspects of AI, addressing bias, fairness, privacy, and security concerns. Real-World Applications: Witness AI's impact across industries such as healthcare, finance, and retail, and glimpse into the future of AI in various sectors. Emerging Trends: Stay ahead of the curve by exploring quantum computing's synergy with AI and the convergence of AI with the Internet of Things (IoT). Career Paths: Learn about the diverse roles in AI and the essential skills required, as well as the exciting future of work in the AI field. Whether you're a fan of AI, a student eager to learn, or a seasoned professional, "Introduction to Artificial Intelligence: Understanding the Basics" provides you with the essential knowledge to grasp, appreciate, and effectively navigate the AI revolution. Get ready for an exciting adventure into the fascinating world of artificial intelligence.
Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4./5 ( download)
Download or read book Elon Musk Grok Ai written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-30 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the World of Deep Learning: A Comprehensive Guide for Beginners Deep learning, a revolutionary subfield of artificial intelligence, is rapidly transforming industries and reshaping our world. This comprehensive guide unlocks the secrets of this powerful technology, empowering you to understand its core principles, explore its applications, and stay ahead of the curve in this exciting field. Whether you're a tech enthusiast, aspiring developer, or simply curious about the future of AI, this guide provides a clear and accessible roadmap to deep learning. We'll begin by delving into the fascinating world of the human brain, the inspiration behind artificial neural networks. You'll discover how these networks mimic the brain's structure and function to learn from vast amounts of data, empowering them to perform tasks like image recognition, natural language processing, and even self-driving cars. As we progress, we'll explore the building blocks of deep learning: the essential components like neurons, activation functions, and loss functions. You'll witness the power of gradient descent and backpropagation, the algorithms that train deep learning models to continuously improve their performance. By building your own simple deep learning model using popular libraries like TensorFlow or PyTorch, you'll gain hands-on experience and solidify your understanding of these core concepts. Data, the fuel of intelligence, plays a crucial role in deep learning. We'll delve into data collection techniques, pre-processing methods, and the importance of working with diverse and high-quality datasets. You'll discover how convolutional neural networks (CNNs) excel at analyzing images, while recurrent neural networks (RNNs) are specifically designed to handle sequential data like text and speech. Deep reinforcement learning (DRL) takes center stage as we explore how AI agents learn through trial and error, interacting with their environment and adapting their behavior based on rewards. This opens doors to training intelligent systems capable of handling complex real-world challenges in dynamic environments. But the journey doesn't end there. We'll explore how to combine different deep learning techniques, build comprehensive projects like object detection and image captioning, and leverage powerful frameworks like TensorFlow and PyTorch. Practical considerations like computational resources, monitoring, and ethical concerns will be addressed, ensuring you're equipped with the knowledge and tools to navigate the real-world application of deep learning. Get ready to witness the impact of deep learning across various industries, from medical diagnosis and financial fraud detection to scientific research and personalized user experiences. We'll explore the challenges and opportunities that lie ahead, including ethical considerations like bias, explainability, and data privacy. As we delve into emerging trends like generative adversarial networks (GANs), advancements in unsupervised and reinforcement learning, and the exciting potential of neuromorphic computing, you'll gain a glimpse into the future of AI and its transformative potential for our world. This comprehensive guide is your gateway to the fascinating world of deep learning. Dive in, unlock its potential, and become part of the revolution shaping the future of technology.
Author : Nigel FORD
Publisher :
ISBN 13 : 9780608222714
Total Pages : 291 pages
Book Rating : 4.2/5 (227 download)
Download or read book Expert Systems and Artificial Intelligence written by Nigel FORD and published by . This book was released on 1991 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:
