Applied analytics learning press (8 résultats)
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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EUR 24,89
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
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EUR 30,56
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
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EUR 27,25
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 28,62
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Paperback. Etat : 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, re…trieval-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.
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Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller
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EUR 43,34
EUR 31,93 expéditionExpédition depuis Australie vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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, re…trieval-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.
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Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
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EUR 31,28
EUR 43,23 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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, re…trieval-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.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 35,87
EUR 62,86 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : 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 learnin…g, 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.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 51,00
EUR 70,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 5 disponible(s)
Taschenbuch. Etat : 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.
