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| Author | : Blay Whitby |
| Publisher | : One World (UK) |
| Total Pages | : 168 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : |
This jargon-free guide introduces the futuristic world of Artificial Intelligence, the science of creating machines that can think for themselves.
| Author | : Rayan Wali |
| Publisher | : Rayan Wali |
| Total Pages | : 605 |
| Release | : 2021-06-12 |
| Genre | : Computers |
| ISBN | : |
Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts: Part I: Concept Instruction Part II: 8 Full-Length Case Studies Part III: 50+ Mixed Exercises Part IV: A Full-Length Assessment With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.
| Author | : John Zerilli |
| Publisher | : MIT Press |
| Total Pages | : 233 |
| Release | : 2021-02-23 |
| Genre | : Computers |
| ISBN | : 0262044811 |
A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
| Author | : Melanie Mitchell |
| Publisher | : Farrar, Straus and Giroux |
| Total Pages | : 336 |
| Release | : 2019-10-15 |
| Genre | : Computers |
| ISBN | : 0374715238 |
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 | : Derek Partridge |
| Publisher | : Intellect Books |
| Total Pages | : 576 |
| Release | : 1991 |
| Genre | : Computers |
| ISBN | : |
Textbook includes both theories and programs, and covers all recognized AI work in sufficient detail to allow a critique from general concerns to be anchored, whenever possible, in the structure of specific AI programs. -- Amazon.com.
| Author | : Ambreen Hamadani |
| Publisher | : Elsevier |
| Total Pages | : 370 |
| Release | : 2024-03-15 |
| Genre | : Computers |
| ISBN | : 0443240000 |
A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence
| Author | : Neil Wilkins |
| Publisher | : Independently Published |
| Total Pages | : 214 |
| Release | : 2019-04-06 |
| Genre | : |
| ISBN | : 9781092879675 |
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 | : Annie Joy |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2023-07-16 |
| Genre | : |
| ISBN | : |
This beginner's guide to AI provides a comprehensive overview of Artificial Intelligence, covering its definition, history, real-world applications, and ethical considerations. It explains the difference between Narrow AI and General AI and explores key AI techniques such as Machine Learning, Deep Learning, and Reinforcement Learning. The book emphasizes the importance of data in AI development and discusses algorithms, models, training, and evaluation processes. It explains different types of learning, including Supervised, Unsupervised, and Semi-Supervised Learning, and covers topics such as Feature Engineering, evaluation metrics, and common deep learning architectures like Neural Networks, CNNs, and RNNs. Furthermore, the book examines AI's impact on industries such as Healthcare, Transportation, Education, and Business, highlighting both the opportunities and challenges. It addresses ethical considerations such as bias, privacy, transparency, accountability, and governance. The book provides recommendations for further learning, including books, blogs, websites, online courses, and tutorials. It also suggests AI development tools and frameworks and mentions AI communities and forums for engagement and collaboration. Overall, this beginner's guide offers a foundation for understanding AI, equipping readers with the knowledge to explore the field further and approach AI development and deployment with ethical considerations in mind.
| Author | : Michael Milford |
| Publisher | : |
| Total Pages | : |
| Release | : 2018-03-31 |
| Genre | : |
| ISBN | : 9780958137577 |
| Author | : José Antonio Bowen |
| Publisher | : JHU Press |
| Total Pages | : 280 |
| Release | : 2024-04-30 |
| Genre | : Education |
| ISBN | : 1421449234 |
How AI is revolutionizing the future of learning and how educators can adapt to this new era of human thinking. Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. José Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond. By learning how to use new AI tools and resources, educators will gain the confidence to navigate the challenges and seize the opportunities presented by AI. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments. Bowen and Watson tackle crucial questions related to academic integrity, cheating, and other emerging issues. In the age of AI, critical thinking skills, information literacy, and a liberal arts education are more important than ever. As AI continues to reshape the nature of work and human thinking, educators can equip students with the skills they need to thrive in a rapidly evolving world. This book serves as a compass, guiding educators through the uncharted territory of AI-powered education and the future of teaching and learning.
