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Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion;
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The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the;
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: Educational Change in the age of artificial Intelligence; AI in SAR/ISAR Target Detection; Recent advances in AI and their applications in future;
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lifelong learning in a strengthened model that can preserve the integrity of core values and the purpose of higher education. Impact of AI;
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learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other;
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, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure;
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in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex;
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, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details;
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computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI;
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processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.;
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AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action;
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to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides;
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to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides;
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, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure;
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, and Deep Learning in its many forms; key ML and DL algorithms data scientists should learn; ethical challenges for the use of AI; how AI;
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maintainability of AI apps Book DescriptionFrom data wrangling through to translating text, you can accomplish this and more with the artificial;
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innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and;
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OBJECTIVES The book objectives provide a full delivery of information on the fields of artificial intelligence (AI) and machine learning;
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A primer to AI and Machine Learning which also touches upon "good" and "bad" AI and its relationship with governments and corporations.;
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Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;
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Machine Learning for Kids introduces young readers to the concept of Artificial Intelligence (AI) and the related applications of Machine;
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Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other;
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AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you;
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Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and;
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Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI;
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learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine;
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learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine;
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