moriyama daiki (17 risultati)

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

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

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

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

Condizione: New.

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

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

Paperback. Condizione: new. Paperback. Learn Python the right way-with clarity, judgment, and modern tools.Most beginner programming books promise speed. They rush through syntax, encourage copying, and leave readers dependent on tutorials or AI-generated answers they don't fully understand.Coding for Python Beginners takes a different approach.This book is designed to help you think clearly about programming, understand how Python actually works, and build programs you can explain, debug, and trust-while using AI tools responsibly as learning support, not as replacements for understanding.Python is an excellent first language because it reveals structure instead of hiding it. This book uses that strength to teach programming as a skill of reasoning: how logic flows, how mistakes happen, and how to fix them with confidence.What makes this book differentThis is not a "learn Python fast" book. It is a thinking-first guide that prioritizes understanding over shortcuts.You will learn how to: Understand what programs do before you run themWrite clear, readable Python code that makes sense laterDebug errors calmly by identifying broken assumptionsUse conditions, loops, functions, and data structures correctlyOrganize code as programs growApply object-oriented ideas only when they add clarityUse AI tools to explain, review, and practice-without losing control of your learningAI is treated as a supporting tool, not an authority. You will learn when it helps, when it misleads, and how to verify everything.A structured path from first code to real programsThe book progresses carefully and intentionally: Core programming fundamentals explained without jargonPractical debugging and error handling from the beginningFile handling, modular design, and clean structureResponsible AI-assisted learning and testingGuided projects that combine everything you've learnedClear guidance on how to continue learning independentlyEach chapter builds on the previous one, reinforcing understanding instead of overwhelming you with features. This book is ideal for: Beginners who want real understanding, not just working codeAdult learners returning to technical skillsProfessionals who want a calm, structured foundationReaders using AI tools and wanting to stay in controlThis book is not for readers looking for instant results, shortcuts, or copied solutions.Build skills that last beyond tools and trendsProgramming languages change. Tools evolve. AI improves rapidly.The ability to reason, debug, and verify does not.If you want to learn Python with clarity, confidence, and long-term value, this book is your starting point.Order now and begin building understanding that lasts. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. SQL for the AI EraThe Complete Handbook for Intelligent Data Systems, Machine Learning Readiness, and Real-World Automation Turn your databases into engines of intelligence.In a world driven by automation, real-time analytics, and machine-generated decisions, SQL has become more important-not less. The companies leading the AI revolution all have one thing in common: they treat their data like a strategic engine, and SQL is the language that powers it.This book shows you how to think, design, and build like those companies.SQL for the AI Era is a modern, practical, and deeply actionable handbook for developers, analysts, engineers, and business leaders who want to turn their data systems into intelligent, scalable, AI-ready engines. Whether you're preparing your organization for machine learning, building automated workflows, or designing a robust analytical foundation-this book walks you step-by-step through the new rules of data architecture.You will learn how to structure data for intelligence, design high-performance queries, build real-world pipelines, and implement concepts that transform SQL from a reporting tool into a core enabler of AI-powered products.What You Will Discover InsideHow SQL fits into today's AI-driven ecosystems-and why it's indispensableModern schemas and data models designed for machine learning and automationIntelligent use of indexes, partitions, materialized views, and query optimizationFeature engineering principles every data team must understandHow to connect SQL with LLMs, agents, and real-time inferenceDesigning pipelines that support prediction, automation, and closed-loop systemsReal-world architectures used by AI-first organizationsBuild Systems That Learn, Adapt, and ScaleInstead of presenting SQL as a static language, this book shows how to integrate it with modern technologies-vector databases, streaming platforms, model stores, agent frameworks, and cloud-native systems. The result is a practical blueprint for transforming raw data into intelligent decisions.Who This Book Is ForData Analysts & BI Professionals who want to level up into AI-ready designData Engineers & Architects building scalable automation and ML-ready pipelinesDevelopers integrating SQL logic with LLMs and intelligent applicationsTech Leaders and Founders who want to build future-proof data systemsClear explanations, real-world diagrams, practical examples, and a forward-thinking perspective make SQL for the AI Era one of the most relevant data books of this decade.If you want to stay ahead of the curve-and build systems that power the next generation of AI-this is your essential guide.Order Now. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Build the data skills the future demands.In a world driven by automation, machine learning, and intelligent systems, one capability remains at the center of every breakthrough: the ability to structure, understand, and command data with confidence. SQL for the AI Era is your complete guide to mastering modern data thinking-bringing together SQL fundamentals, AI integration, vector search, analytics, and real-world automation into one practical, future-ready handbook.Whether you're new to SQL or already experienced, this book shows you how today's smartest systems actually work-and how you can build them.A Modern SQL Book for a Modern AI WorldMost SQL books stop at syntax. This one goes further.You'll learn how SQL supports machine learning workflows, powers AI-assisted query generation, and integrates with vector databases, Python, LangChain, and intelligent automation tools. Every chapter is packed with clear explanations, hands-on examples, diagrams, and practical insights you can apply immediately at work.What You'll Learn InsideMaster SQL fundamentals the right way-queries, joins, aggregations, relationships, and data modelingPrepare clean, ML-ready datasets using real-world SQL cleaning, normalization, and transformation techniquesUnderstand how AI uses data-from natural language to SQL translation to intelligent data retrievalWork with modern vector databases (Pinecone, Milvus, Postgres vectors) and embeddings for semantic searchBuild hybrid systems that combine relational accuracy with AI-powered meaningAutomate insights and reporting with AI agents, workflows, and next-generation BI integrationsOptimize and debug AI-generated SQL with safe patterns and validation strategiesDesign intelligent pipelines that scale securely across teams and enterprise environmentsFollow a lifelong learning roadmap to stay ahead in the age of intelligent systemsPerfect For: Data analysts, BI developers, and SQL users upgrading their skillsSoftware developers integrating databases with AI modelsData engineers building pipelines and automated workflowsStudents and beginners entering the data fieldBusiness professionals who want to understand how AI actually uses structured dataAnyone preparing for a career in modern data, ML, or AI systemsWhy This Book Is DifferentSQL for the AI Era doesn't teach SQL as an isolated skill.It teaches SQL as a foundation for intelligent automation, machine learning, vector search, and AI-driven workflows-exactly the skills employers are looking for. Instead of theoretical examples, you get modern, real-world scenarios that reflect how data engineering works today.You'll walk away with clear, actionable knowledge you can use immediately-whether you're building dashboards, preparing ML datasets, or architecting hybrid AI systems.Future-Proof Your Data CareerAs AI continues to evolve, the tools may change-but structured reasoning, data literacy, and SQL mastery will remain among the most valuable professional skills. This book gives you both the foundation and the forward-looking insight you need to stay relevant, competitive, and confidently prepared for the next decade of intelligent technology. Order Now This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Learn Python the right way-with clarity, judgment, and modern tools.Most beginner programming books promise speed. They rush through syntax, encourage copying, and leave readers dependent on tutorials or AI-generated answers they don't fully understand.Coding for Python Beginners takes a different approach.This book is designed to help you think clearly about programming, understand how Python actually works, and build programs you can explain, debug, and trust-while using AI tools responsibly as learning support, not as replacements for understanding.Python is an excellent first language because it reveals structure instead of hiding it. This book uses that strength to teach programming as a skill of reasoning: how logic flows, how mistakes happen, and how to fix them with confidence.What makes this book differentThis is not a "learn Python fast" book. It is a thinking-first guide that prioritizes understanding over shortcuts.You will learn how to: Understand what programs do before you run themWrite clear, readable Python code that makes sense laterDebug errors calmly by identifying broken assumptionsUse conditions, loops, functions, and data structures correctlyOrganize code as programs growApply object-oriented ideas only when they add clarityUse AI tools to explain, review, and practice-without losing control of your learningAI is treated as a supporting tool, not an authority. You will learn when it helps, when it misleads, and how to verify everything.A structured path from first code to real programsThe book progresses carefully and intentionally: Core programming fundamentals explained without jargonPractical debugging and error handling from the beginningFile handling, modular design, and clean structureResponsible AI-assisted learning and testingGuided projects that combine everything you've learnedClear guidance on how to continue learning independentlyEach chapter builds on the previous one, reinforcing understanding instead of overwhelming you with features. This book is ideal for: Beginners who want real understanding, not just working codeAdult learners returning to technical skillsProfessionals who want a calm, structured foundationReaders using AI tools and wanting to stay in controlThis book is not for readers looking for instant results, shortcuts, or copied solutions.Build skills that last beyond tools and trendsProgramming languages change. Tools evolve. AI improves rapidly.The ability to reason, debug, and verify does not.If you want to learn Python with clarity, confidence, and long-term value, this book is your starting point.Order now and begin building understanding that lasts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. SQL for the AI EraThe Complete Handbook for Intelligent Data Systems, Machine Learning Readiness, and Real-World Automation Turn your databases into engines of intelligence.In a world driven by automation, real-time analytics, and machine-generated decisions, SQL has become more important-not less. The companies leading the AI revolution all have one thing in common: they treat their data like a strategic engine, and SQL is the language that powers it.This book shows you how to think, design, and build like those companies.SQL for the AI Era is a modern, practical, and deeply actionable handbook for developers, analysts, engineers, and business leaders who want to turn their data systems into intelligent, scalable, AI-ready engines. Whether you're preparing your organization for machine learning, building automated workflows, or designing a robust analytical foundation-this book walks you step-by-step through the new rules of data architecture.You will learn how to structure data for intelligence, design high-performance queries, build real-world pipelines, and implement concepts that transform SQL from a reporting tool into a core enabler of AI-powered products.What You Will Discover InsideHow SQL fits into today's AI-driven ecosystems-and why it's indispensableModern schemas and data models designed for machine learning and automationIntelligent use of indexes, partitions, materialized views, and query optimizationFeature engineering principles every data team must understandHow to connect SQL with LLMs, agents, and real-time inferenceDesigning pipelines that support prediction, automation, and closed-loop systemsReal-world architectures used by AI-first organizationsBuild Systems That Learn, Adapt, and ScaleInstead of presenting SQL as a static language, this book shows how to integrate it with modern technologies-vector databases, streaming platforms, model stores, agent frameworks, and cloud-native systems. The result is a practical blueprint for transforming raw data into intelligent decisions.Who This Book Is ForData Analysts & BI Professionals who want to level up into AI-ready designData Engineers & Architects building scalable automation and ML-ready pipelinesDevelopers integrating SQL logic with LLMs and intelligent applicationsTech Leaders and Founders who want to build future-proof data systemsClear explanations, real-world diagrams, practical examples, and a forward-thinking perspective make SQL for the AI Era one of the most relevant data books of this decade.If you want to stay ahead of the curve-and build systems that power the next generation of AI-this is your essential guide.Order Now. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Build the data skills the future demands.In a world driven by automation, machine learning, and intelligent systems, one capability remains at the center of every breakthrough: the ability to structure, understand, and command data with confidence. SQL for the AI Era is your complete guide to mastering modern data thinking-bringing together SQL fundamentals, AI integration, vector search, analytics, and real-world automation into one practical, future-ready handbook.Whether you're new to SQL or already experienced, this book shows you how today's smartest systems actually work-and how you can build them.A Modern SQL Book for a Modern AI WorldMost SQL books stop at syntax. This one goes further.You'll learn how SQL supports machine learning workflows, powers AI-assisted query generation, and integrates with vector databases, Python, LangChain, and intelligent automation tools. Every chapter is packed with clear explanations, hands-on examples, diagrams, and practical insights you can apply immediately at work.What You'll Learn InsideMaster SQL fundamentals the right way-queries, joins, aggregations, relationships, and data modelingPrepare clean, ML-ready datasets using real-world SQL cleaning, normalization, and transformation techniquesUnderstand how AI uses data-from natural language to SQL translation to intelligent data retrievalWork with modern vector databases (Pinecone, Milvus, Postgres vectors) and embeddings for semantic searchBuild hybrid systems that combine relational accuracy with AI-powered meaningAutomate insights and reporting with AI agents, workflows, and next-generation BI integrationsOptimize and debug AI-generated SQL with safe patterns and validation strategiesDesign intelligent pipelines that scale securely across teams and enterprise environmentsFollow a lifelong learning roadmap to stay ahead in the age of intelligent systemsPerfect For: Data analysts, BI developers, and SQL users upgrading their skillsSoftware developers integrating databases with AI modelsData engineers building pipelines and automated workflowsStudents and beginners entering the data fieldBusiness professionals who want to understand how AI actually uses structured dataAnyone preparing for a career in modern data, ML, or AI systemsWhy This Book Is DifferentSQL for the AI Era doesn't teach SQL as an isolated skill.It teaches SQL as a foundation for intelligent automation, machine learning, vector search, and AI-driven workflows-exactly the skills employers are looking for. Instead of theoretical examples, you get modern, real-world scenarios that reflect how data engineering works today.You'll walk away with clear, actionable knowledge you can use immediately-whether you're building dashboards, preparing ML datasets, or architecting hybrid AI systems.Future-Proof Your Data CareerAs AI continues to evolve, the tools may change-but structured reasoning, data literacy, and SQL mastery will remain among the most valuable professional skills. This book gives you both the foundation and the forward-looking insight you need to stay relevant, competitive, and confidently prepared for the next decade of intelligent technology. Order Now This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Build the data skills the future demands.In a world driven by automation, machine learning, and intelligent systems, one capability remains at the center of every breakthrough: the ability to structure, understand, and command data with confidence. SQL for the AI Era is your complete guide to mastering modern data thinking-bringing together SQL fundamentals, AI integration, vector search, analytics, and real-world automation into one practical, future-ready handbook.Whether you're new to SQL or already experienced, this book shows you how today's smartest systems actually work-and how you can build them.A Modern SQL Book for a Modern AI WorldMost SQL books stop at syntax. This one goes further.You'll learn how SQL supports machine learning workflows, powers AI-assisted query generation, and integrates with vector databases, Python, LangChain, and intelligent automation tools. Every chapter is packed with clear explanations, hands-on examples, diagrams, and practical insights you can apply immediately at work.What You'll Learn InsideMaster SQL fundamentals the right way-queries, joins, aggregations, relationships, and data modelingPrepare clean, ML-ready datasets using real-world SQL cleaning, normalization, and transformation techniquesUnderstand how AI uses data-from natural language to SQL translation to intelligent data retrievalWork with modern vector databases (Pinecone, Milvus, Postgres vectors) and embeddings for semantic searchBuild hybrid systems that combine relational accuracy with AI-powered meaningAutomate insights and reporting with AI agents, workflows, and next-generation BI integrationsOptimize and debug AI-generated SQL with safe patterns and validation strategiesDesign intelligent pipelines that scale securely across teams and enterprise environmentsFollow a lifelong learning roadmap to stay ahead in the age of intelligent systemsPerfect For: Data analysts, BI developers, and SQL users upgrading their skillsSoftware developers integrating databases with AI modelsData engineers building pipelines and automated workflowsStudents and beginners entering the data fieldBusiness professionals who want to understand how AI actually uses structured dataAnyone preparing for a career in modern data, ML, or AI systemsWhy This Book Is DifferentSQL for the AI Era doesn't teach SQL as an isolated skill.It teaches SQL as a foundation for intelligent automation, machine learning, vector search, and AI-driven workflows-exactly the skills employers are looking for. Instead of theoretical examples, you get modern, real-world scenarios that reflect how data engineering works today.You'll walk away with clear, actionable knowledge you can use immediately-whether you're building dashboards, preparing ML datasets, or architecting hybrid AI systems.Future-Proof Your Data CareerAs AI continues to evolve, the tools may change-but structured reasoning, data literacy, and SQL mastery will remain among the most valuable professional skills. This book gives you both the foundation and the forward-looking insight you need to stay relevant, competitive, and confidently prepared for the next decade of intelligent technology. Order Now 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.

Taschenbuch. Condizione: Neu. SQL for the AI Era | The Complete Handbook for Intelligent Data Systems, Machine Learning Readiness, and Real-World Automation | Daiki Moriyama | Taschenbuch | Englisch | 2025 | Richa Publishing Minds | EAN 9798232968533 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.