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Data Structures & Algorithms for AI: Building Smart Systems (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence) - Softcover

 
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Synopsis

AI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence (Book 3)

Artificial Intelligence (AI) is transforming industries, from healthcare to finance, robotics to real-time decision-making. But what makes AI models truly efficient? The answer lies in data structures and algorithms—the backbone of AI performance, scalability, and optimization.

Data Structures & Algorithms for AI: Building Smart Systems is a comprehensive guide designed to help AI engineers, machine learning practitioners, and software developers master the core computational techniques that power modern AI systems. As the third book in the AI from Scratch series, this volume takes a deep dive into the computational foundations necessary to build fast, scalable, and intelligent AI solutions.

What You’ll Learn:

  • How arrays, linked lists, trees, graphs, and hash tables impact AI efficiency
  • Graph algorithms, reinforcement learning, and heuristic search for AI applications
  • Sorting, dynamic programming, and metaheuristics to optimize AI performance
  • Deep learning data structures, parallel computing, and real-time AI systems
  • AI-ready probabilistic data structures for handling large-scale and streaming data

Why This Book?

Unlike traditional algorithm books, which focus on generic applications, this book is tailored for AI professionals. You’ll learn how to implement AI-driven data structures with a focus on speed, memory optimization, and scalability. From neural network optimizations to AI-powered search techniques, this book provides the computational toolkit needed for building high-performance AI applications.

Who Should Read This Book?
  • AI & Machine Learning Engineers optimizing model performance
  • Data Scientists looking for AI-focused algorithmic techniques
  • Software Developers implementing AI-based applications
  • Researchers & Students wanting a deep dive into AI-specific data structures

With real-world case studies, hands-on examples, and AI-specific optimizations, this book ensures that you don’t just learn how data structures and algorithms work—but how to apply them to build smarter AI systems.

Master the computational backbone of AI—optimize, scale, and innovate!

"synopsis" may belong to another edition of this title.

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Gutiérrez, Gilbert
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Paperback. Condition: new. Paperback. AI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence (Book 3) Artificial Intelligence (AI) is transforming industries, from healthcare to finance, robotics to real-time decision-making. But what makes AI models truly efficient? The answer lies in data structures and algorithms-the backbone of AI performance, scalability, and optimization. Data Structures & Algorithms for AI: Building Smart Systems is a comprehensive guide designed to help AI engineers, machine learning practitioners, and software developers master the core computational techniques that power modern AI systems. As the third book in the AI from Scratch series, this volume takes a deep dive into the computational foundations necessary to build fast, scalable, and intelligent AI solutions. What You'll Learn: How arrays, linked lists, trees, graphs, and hash tables impact AI efficiencyGraph algorithms, reinforcement learning, and heuristic search for AI applicationsSorting, dynamic programming, and metaheuristics to optimize AI performanceDeep learning data structures, parallel computing, and real-time AI systemsAI-ready probabilistic data structures for handling large-scale and streaming dataWhy This Book? Unlike traditional algorithm books, which focus on generic applications, this book is tailored for AI professionals. You'll learn how to implement AI-driven data structures with a focus on speed, memory optimization, and scalability. From neural network optimizations to AI-powered search techniques, this book provides the computational toolkit needed for building high-performance AI applications. Who Should Read This Book?AI & Machine Learning Engineers optimizing model performanceData Scientists looking for AI-focused algorithmic techniquesSoftware Developers implementing AI-based applicationsResearchers & Students wanting a deep dive into AI-specific data structuresWith real-world case studies, hands-on examples, and AI-specific optimizations, this book ensures that you don't just learn how data structures and algorithms work-but how to apply them to build smarter AI systems. Master the computational backbone of AI-optimize, scale, and innovate! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798309264209

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Paperback. Condition: new. Paperback. AI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence (Book 3) Artificial Intelligence (AI) is transforming industries, from healthcare to finance, robotics to real-time decision-making. But what makes AI models truly efficient? The answer lies in data structures and algorithms-the backbone of AI performance, scalability, and optimization. Data Structures & Algorithms for AI: Building Smart Systems is a comprehensive guide designed to help AI engineers, machine learning practitioners, and software developers master the core computational techniques that power modern AI systems. As the third book in the AI from Scratch series, this volume takes a deep dive into the computational foundations necessary to build fast, scalable, and intelligent AI solutions. What You'll Learn: How arrays, linked lists, trees, graphs, and hash tables impact AI efficiencyGraph algorithms, reinforcement learning, and heuristic search for AI applicationsSorting, dynamic programming, and metaheuristics to optimize AI performanceDeep learning data structures, parallel computing, and real-time AI systemsAI-ready probabilistic data structures for handling large-scale and streaming dataWhy This Book? Unlike traditional algorithm books, which focus on generic applications, this book is tailored for AI professionals. You'll learn how to implement AI-driven data structures with a focus on speed, memory optimization, and scalability. From neural network optimizations to AI-powered search techniques, this book provides the computational toolkit needed for building high-performance AI applications. Who Should Read This Book?AI & Machine Learning Engineers optimizing model performanceData Scientists looking for AI-focused algorithmic techniquesSoftware Developers implementing AI-based applicationsResearchers & Students wanting a deep dive into AI-specific data structuresWith real-world case studies, hands-on examples, and AI-specific optimizations, this book ensures that you don't just learn how data structures and algorithms work-but how to apply them to build smarter AI systems. Master the computational backbone of AI-optimize, scale, and innovate! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798309264209

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