Machine Learning: A quick guide to Artificial Intelligence, Neural Network and Cutting Edge Deep Learning Techniques for beginners

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Do you want to know, How to work with Robot Program?
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Constraint Processing (The Morgan Kaufmann Series in Artificial Intelligence)

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Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to effectively focus on the possible, allowing for a natural declarative formulation of what must be satisfied, without expressing how. The field of constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. Today, constraint problems are used to model cognitive tasks in vision, language comprehension, default reasoning, diagnosis, scheduling, temporal and spatial reasoning.

In Constraint Processing, Rina Dechter, synthesizes these contributions, along with her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms. Throughout, she focuses on fundamental tools and principles, emphasizing the representation and analysis of algorithms.Examines the basic practical aspects of each topic and then tackles more advanced issues, including current research challengesBuilds the reader's understanding with definitions, examples, theory, algorithms and complexity analysisSynthesizes three decades of researchers work on constraint processing in AI, databases and programming languages, operations research, management science, and applied mathematics

The Future of Leadership: Rise of Automation, Robotics and Artificial Intelligence

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Is Artificial Intelligence (AI) our greatest existential threat? Will AI take your Job? Is Privacy dead? Is Universal Basic Income a viable strategy or just a temporary bandage? Will AI solve all our problems? Will it make us happier? We can’t put the genie back in the bottle once it’s out. If we don't candidly answer the pertinent questions, we will only paint a false picture.

We are standing at a crucial and pivotal point in history. It’s time for diversity in AI. This unprecedented technology will affect society as a whole and we need individuals from diverse disciplines and backgrounds to join the discussion. The issues surrounding AI can’t be left to a small group of scientists, technologists or business executives to address. Our future and our children's future are at stake.
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Artificial Intelligence and Machine Learning for Business: Approach for Beginners to AI and Machine Learning and Their Revolution of Modern Life, Health Care, Business and Marketing

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Do you want to learn about Artificial Intelligence and Machine Learning and how they are revolutionizing Life, Health Care, Business and Marketing? Do you want apply them to your business? If so then keep reading.

Artificial intelligence technology has become so common that many people do not realize that AI is already a part of their lives. Businesses use AI in many realms, including predictive analytics, product pricing, and marketing. In healthcare, artificial intelligence can be used in medical image analysis, language processing in dictation, and automated healthcare services. Because of machine learning capabilities in AI, any data that artificial intelligence is provided with can be used to learn and to make new, unexpected predictions and recommendations. In this book, the reader will understand not only how AI works, but will also learn how machine learning is revolutionizing the industry.
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Artificial Intelligence Safety and Security (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

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The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence.

The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.