Machine learning robotics applications (95 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - In a world where Artificial Intelligence is reshaping industries, Future of AI reveals the emerging trends and innovations that are transforming the future. Discover how AI is rapidly evolving to become a critical part of our lives, offering solutions in healthcare, finance, education, and beyond. Future of AI is your all-access pass to understanding AI's limitless potential. From groundbreaking research insights to strategic implementation guides, this book is tailored for experts and beginners who want to master cutting-edge AI tools and techniques. Learn how to navigate the complexities of AI research with _Future of AI_ as your guide. Whether it's machine learning, neural networks, or AI ethics, this comprehensive resource provides actionable strategies to harness AI for personal and professional growth. Gain the knowledge to stay ahead in a future driven by AI innovations. The book unveils the latest AI applications, empowering you to lead and innovate in your field. Additional Benefits: - Learn from real-world case studies and AI applications.- Uncover the ethical considerations crucial for responsible AI.- Explore AI's societal impact and the future of work.- Access in-depth insights from leading AI research institutions.>? Become a master in predictive analytics and neural networks.? Secure your understanding of AI-driven technologies and innovations.? Prevent AI implementation pitfalls with expert guidance.? Invest in sustainable AI practices for long-term success.? Elevate your competitive advantage in a technology-driven marketplace. With over 5 years in the ICT industry, the author provides unparalleled expertise and insight into AI's future. Leverage this knowledge to secure a leadership position in the rapidly evolving AI landscape. Don't miss out on mastering the Future of AI-a book designed to empower you with expert strategies and insights. Order now to redefine your future in an AI-driven world.…

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Paperback. Zustand: new. Paperback. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Zustand: New. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.…

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Paperback. Zustand: New. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.…

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