Seres frank (20 Ergebnisse)
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- Softcover
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Paperback or Softback. Zustand: New. The Jacob Series: Book #1 Fearfully and Wonderfully Made. Book.
- Softcover
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- Softcover
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EUR 19,50
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- Softcover
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- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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Zustand: New. In.
- Softcover
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- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: As New. Unread book in perfect condition.
- Softcover
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Paperback. Zustand: new. Paperback. This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learning, deep learning, generative AI, prompt engineering,…retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about: - Machine learning, deep learning, RAG, GANs, and generative AI- Prompts, tokens, delimiters, retrieval, guardrails, and AI agents- Human oversight, explainability, privacy, bias, and risk- Accuracy, false positives, false negatives, and model evaluation- Data quality, workflows, cost, ROI, and business value- Human-centered AI design and practical product decisions- When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences. A practical field guide to machine learning, generative AI, RAG, AI agents, human-centered design, risk, evaluation, and business value. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 98.
- Softcover
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Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 23,83
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnA Child s Introduction to JesusnnFor young Jacob, everything around him is new-from the flowers to the bugs to the balloons-and he s fascinated by all of it. But what Jacob doesn t yet know is that God ma…de all these exciting thin.
- Softcover
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Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 43,30
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Paperback. Zustand: new. Paperback. This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learning, deep learning, generative AI, prompt engineering,…retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about: - Machine learning, deep learning, RAG, GANs, and generative AI- Prompts, tokens, delimiters, retrieval, guardrails, and AI agents- Human oversight, explainability, privacy, bias, and risk- Accuracy, false positives, false negatives, and model evaluation- Data quality, workflows, cost, ROI, and business value- Human-centered AI design and practical product decisions- When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences. A practical field guide to machine learning, generative AI, RAG, AI agents, human-centered design, risk, evaluation, and business value. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Softcover
- Print-on-Demand
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EUR 31,22
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Paperback. Zustand: new. Paperback. This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learning, deep learning, generative AI, prompt engineering,…retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about: - Machine learning, deep learning, RAG, GANs, and generative AI- Prompts, tokens, delimiters, retrieval, guardrails, and AI agents- Human oversight, explainability, privacy, bias, and risk- Accuracy, false positives, false negatives, and model evaluation- Data quality, workflows, cost, ROI, and business value- Human-centered AI design and practical product decisions- When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences. A practical field guide to machine learning, generative AI, RAG, AI agents, human-centered design, risk, evaluation, and business value. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 27,98
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Child's Introduction to JesusFor young Jacob, everything around him is new-from the flowers to the bugs to the balloons-and he's fascinated by all of it. But what Jacob doesn't yet know is that God made all these exciting things. This ch…arming first entry in The Jacob Series expresses the awesome wonder of a young boy just learning about the Lord. Delightfully illustrated, this gorgeous full-color book captures his inspiring discovery of God's love. Jacob learns how Jesus knows everything about him even before Jacob was born; why Jesus gave Jacob a mommy; and most of all how Jesus made not just the material objects in the world, but also each of us. Follow Jacob's journey as his mom teaches him about the most important subject of all-Jesus! The Jacob Series: Fearfully and Wonderfully Made is an excellent introduction for children encountering the word of God for the first time, making complex topics easy to understand. After all, it's never too early to learn about Jesus.
- Softcover
- Print-on-Demand
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 23,90
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Taschenbuch. Zustand: Neu. The Jacob Series | Book #1 Fearfully and Wonderfully Made | Frank Seres (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2009 | Outskirts Press | EAN 9781432738624 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Pri…nt on Demand.
- Softcover
- Print-on-Demand
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 35,87
EUR 62,86 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book gives professionals, students, educators, managers, analysts, entrepreneurs, and curious readers a clear map of modern AI in applied, easy-to-follow language. It explains how the major pieces fit together, including machine learn…ing, deep learning, generative AI, prompt engineering, retrieval-augmented generation (RAG), generative adversarial networks (GANs), AI agents, human-centered design, model evaluation, risk, and business value.Rather than treating AI as a single technology, this guide shows AI as a landscape of connected ideas, tools, decisions, and tradeoffs. You will learn how models are trained, how prompts shape outputs, how retrieval can ground answers in documents, how agents use tools and workflows, how synthetic media is created, and how to evaluate whether an AI system is accurate, useful, safe, and worth the cost.Inside, you will learn how to think about:¿ Machine learning, deep learning, RAG, GANs, and generative AI¿ Prompts, tokens, delimiters, retrieval, guardrails, and AI agents¿ Human oversight, explainability, privacy, bias, and risk¿ Accuracy, false positives, false negatives, and model evaluation¿ Data quality, workflows, cost, ROI, and business value¿ Human-centered AI design and practical product decisions¿ When to use AI-and when a simpler solution is betterThe book uses diagrams, tables, examples, checklists, code-oriented illustrations, and field-guide explanations to make complex AI concepts easier to compare, remember, and apply. It is designed to help readers build a working mental model, not just memorize definitions.Use this guide if you are evaluating AI tools, teaching AI basics, planning an AI initiative, supporting technical teams, designing an AI-powered product, or exploring an entrepreneurial AI idea. It will help you ask better questions, recognize common failure modes, understand tradeoffs, and communicate more clearly with both technical and nontechnical audiences.
- Softcover
- Print-on-Demand
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 51,00
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Taschenbuch. Zustand: Neu. THE AI LANDSCAPE | A Field Guide to Machine Learning, Generative AI, and Human-Centered AI Design | Frank Seres | Taschenbuch | Englisch | 2026 | Applied Analytics Learning Press | EAN 9798234110503 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de… | Anbieter: preigu Print on Demand.
