Nelson hala (25 Ergebnisse)

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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paperback. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 368 pages. 6.10x0.90x8.80 inches. In Stock.

Paperback. Zustand: Brand New. 368 pages. 6.10x0.90x8.80 inches. In Stock.

Zustand: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: NEW.

Zustand: New. In English.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: - How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controls - A modular architecture for blending physical and virtual worlds while protecting safety across operational technology environments - Accountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of care - Case studies demonstrating implementation strategies for manufacturing and integrated system engineering - An AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment. …

Paperback. Zustand: Brand New. 425 pages. 9.19x7.00x1.30 inches. In Stock.

Zustand: NEW.

Zustand: New. &Uumlber den AutorHala Nelson is an Associate Professor of Mathematics at James Madison University. She has a Ph.D. in mathematics from the Courant Institute of Mathematical Sciences at New York University. Prior to James Madison Univer.

Zustand: New. 2023. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Essential Math for AI | Next-Level Mathematics for Efficient and Successful AI Systems | Hala Nelson | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | O'Reilly Media | EAN 9781098107635 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware -Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter not Elektronisches Buch shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. - Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more - Learn how to adapt mathematical methods to different applications from completely different fields - Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisionsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.…

Taschenbuch. Zustand: Neu. Neuware - Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter not Elektronisches Buch shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. - Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more - Learn how to adapt mathematical methods to different applications from completely different fields - Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions.…

Taschenbuch. Zustand: Neu. Neuware -Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter not Elektronisches Buch shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. - Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more - Learn how to adapt mathematical methods to different applications from completely different fields - Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions Englisch.…