Intelligent systems models applications (183 résultats)

ix, 147 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Taschenbuch. Etat : Neu. Neuware - Understanding artificial intelligence is one thing.Building real intelligent systems is another.If you want to move beyond theory and start creating working AI and robotics projects, this book will show you how.Artificial Intelligence and Robotics: Hands-On Projects and Real-World Applications is a practical guide designed to help you build intelligent systems step by step. Instead of focusing only on concepts, this book walks you through real projects that demonstrate how artificial intelligence models, computer vision systems, natural language processing tools, and robotics platforms are built in practice.Through clear explanations and practical code examples, you will learn how to turn data into machine learning models, connect AI with robotics hardware, and deploy intelligent systems that operate in real environments.Inside this book, you will learn how to: - Set up a professional AI and robotics development environment- Build your first machine learning model using Python- Create an image recognition system with deep learning- Develop a natural language processing application- Program robots using sensors, motors, and control systems- Add computer vision and AI capabilities to robotics projects- Build obstacle-detecting and intelligent navigation robots- Deploy machine learning models as real applications using APIs- Run AI systems in cloud platforms and edge devices- Understand how real-world AI systems operate in healthcare, manufacturing, and transportationThis book focuses on learning by building. Each chapter introduces a practical project that demonstrates how artificial intelligence works in real systems.By the end of the book, you will have the skills to design your own intelligent applications, experiment with robotics hardware, and continue exploring advanced AI development.Whether you are a student, developer, engineer, or technology enthusiast, this hands-on guide will help you transform AI knowledge into practical skills and real projects.If you are ready to start building intelligent machines, this book is the perfect place to begin.…

Etat : New. In English.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Taschenbuch. Etat : Neu. Neuware - Build production-ready AI systems that can reason, retrieve information, use tools, and operate reliably.Large language models can generate impressive responses, but building dependable AI applications requires much more than calling an API. Production reasoning systems need structured workflows, retrieval, tool integration, evaluation, security, observability, and operational controls.Mastering AI Reasoning Systems takes a practical, systems-engineering approach to building these capabilities with Python. Using the Compass platform as a continuous example, you will progressively build a reasoning architecture from its foundations through production deployment.Inside, you will learn how to: - Design hybrid reasoning architectures and intelligent routing- Build retrieval and planning pipelines- Connect AI systems to databases, APIs, and external tools- Develop reliable tool-using agents- Evaluate reasoning quality with repeatable tests- Implement explainability, security, and failure controls- Optimize latency, token usage, and operating costs- Build APIs and operational interfaces- Add monitoring, observability, and incident practices- Containerize and deploy reasoning systems to cloud infrastructureRather than treating reasoning as a feature of the model alone, this book treats it as an engineering problem. Models, data, retrieval, tools, evaluation, and infrastructure are brought together into a coherent system designed for real-world workloads.Whether you are an AI engineer, Python developer, ML engineer, software architect, or technical professional building LLM-powered applications, this book provides a practical path from simple model calls to engineered reasoning systems.A companion repository provides the runnable implementations used throughout the book.Build the architecture. Connect the tools. Measure the reasoning. Engineer the system.…

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Hardcover. Etat : Very Good. 3642398685 Very Good++; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Red and orange covers with title in white lettering; 2013, Springer-Verlag Publishing; 194 pages; "Intelligent Fashion Forecasting Systems: Models and Applications," by Tsan-Ming Choi, et al.…

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paperback. Etat : New.

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Etat : As New. Unread book in perfect condition.

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Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.

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Etat : New. Print on Demand.

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Etat : As New. Unread book in perfect condition.

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Etat : new.

Etat : As New. Unread book in perfect condition.