machine learning autonomous systems (26 Ergebnisse)

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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In an era where search engines are increasingly sophisticated, the concept of autonomous SEO systems has become a vital component of any digital strategy. Crafting Autonomous SEO Systems with Machine Learning provides a comprehensive guide to harnessing the power of machine learning algorithms to create self-sustaining SEO systems. By leveraging cutting-edge techniques and tools, this book equips readers with the knowledge to develop systems that can adapt, learn, and evolve in response to changing search engine algorithms. With a focus on practical implementation, readers will learn how to integrate machine learning into their existing SEO workflows, unlocking new levels of efficiency, accuracy, and scalability. From data preprocessing to model deployment, this book covers every aspect of crafting autonomous SEO systems, empowering readers to stay ahead of the curve in the ever-evolving world of search engine optimization. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In 'Autonomous Repair Systems in Spacecraft Using Machine Learning', discover the latest advancements in machine learning techniques for autonomous repair systems in spacecraft. This book presents a comprehensive overview of the challenges and opportunities in spacecraft maintenance, highlighting the critical role of machine learning algorithms in ensuring the reliability and efficiency of repair systems. By leveraging neural networks and decision trees, researchers can improve the accuracy and efficiency of fault diagnosis and repair. From the development of autonomous repair robots to the implementation of predictive maintenance systems, 'Autonomous Repair Systems in Spacecraft Using Machine Learning' offers a state-of-the-art approach to ensuring the reliability and efficiency of spacecraft operations. By applying machine learning techniques, engineers can gain a deeper understanding of the complex relationships between spacecraft systems, fault diagnosis, and repair. With its focus on cutting-edge technology and real-world applications, this book is essential reading for researchers, engineers, and anyone interested in the intersection of AI and aerospace engineering. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Embodiment and Machine Learning in Autonomous Dance Systems examines the role of artificial intelligence and embodied cognition in creating self-sufficient dance entities. This book discusses how machine learning algorithms enable autonomous systems to generate, adapt, and perform dance movements. It explores the philosophical and technical implications of machine embodiment, emphasizing the synergy between computational learning and physical expression. The work highlights innovative approaches to robotic dance and autonomous performance. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In 'Investigating Machine Learning Bias in Autonomous Systems', the potential of machine learning to introduce bias in autonomous systems is explored in depth. This authoritative guide examines the latest research and applications of machine learning in identifying and mitigating bias in autonomous systems. By leveraging machine learning algorithms and fairness metrics, the book showcases the effectiveness of AI-powered solutions in detecting and addressing bias in autonomous decision-making. The authors highlight the importance of developing AI-driven systems that can detect and respond to bias, promoting a more fair and transparent decision-making process. With its cutting-edge research and practical applications, 'Investigating Machine Learning Bias in Autonomous Systems' is an essential resource for researchers, policymakers, and anyone interested in the future of AI ethics. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The future of SEO is autonomous, and machine learning is the key to unlocking its potential. Crafting Autonomous SEO Systems with Machine Learning offers a deep dive into the art and science of building autonomous SEO systems that drive results. By understanding the intricacies of machine learning and its applications in SEO, you can develop more effective strategies for automating your SEO efforts. This book provides expert insights and actionable strategies for building autonomous SEO systems that meet the needs of modern search engines. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. As autonomous decision systems become increasingly prevalent in various industries, the need for machine learning ethics has become increasingly pressing. Machine Learning Ethics in Autonomous Decision Systems presents a comprehensive framework for leveraging machine learning techniques to develop ethical autonomous decision systems, including strategies for fairness, transparency, and accountability. By exploring the intricacies of machine learning ethics, this book offers a unique perspective on the potential of data-driven insights to drive business success and societal impact in the development of autonomous decision systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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