{"product_id":"data-structure-and-algorithms-for-ai-ml-9798297512139","title":"Data structure and algorithms for AI \u0026 ML","description":"\u003cp\u003e • Author(s): Anshuman Mishra\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Algorithms\u003c\/p\u003e\u003cp\u003eArtificial Intelligence (AI) and Machine Learning (ML) have revolutionized modern computing and technology, offering powerful solutions in fields ranging from natural language processing to autonomous systems. At the heart of AI and ML lie complex data manipulations and efficient algorithmic processes that transform raw data into meaningful patterns, predictions, and decisions.\u003cbr\u003eThis book, \u003ci\u003eData Structures and Algorithms for Artificial Intelligence and Machine Learning\u003c\/i\u003e, is specifically designed for AI and ML students, researchers, and practitioners who wish to gain a deep understanding of the fundamental data structures and algorithms that underpin intelligent systems. Unlike conventional textbooks that treat data structures and algorithms as standalone computer science topics, this book contextualizes these core concepts within the AI and ML landscape, bridging the gap between theory and practical AI application. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhy This Book?\u003c\/b\u003e\u003cbr\u003eMost AI and ML courses focus heavily on mathematical foundations, model training, and application frameworks but often overlook the essential role of data structures and algorithmic efficiency. Without an understanding of the underlying data handling and algorithmic strategies, AI models can become inefficient, slow, and unscalable.\u003cbr\u003eThis book is a comprehensive guide that covers all crucial data structures and algorithms that are directly relevant to AI and machine learning systems. It explains how to choose and implement the right data structures to handle vast amounts of data efficiently, how different algorithms optimize the training and inference processes, and how the combination of these two components results in faster, smarter AI systems. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTarget Audience\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eUndergraduate and Postgraduate AI and ML students\u003c\/b\u003e: This book will serve as an essential companion to their academic curriculum, enhancing their grasp of AI-specific algorithmic principles.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eResearchers and Practitioners\u003c\/b\u003e: Those developing AI systems will benefit from insights into algorithm optimization and data handling that directly impact model performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware Engineers transitioning to AI\/ML\u003c\/b\u003e: Professionals with a programming background seeking to specialize in AI will find this book invaluable in understanding the AI-centric approach to algorithms and data structures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData Scientists and Analysts\u003c\/b\u003e: Who want to deepen their understanding of how data is stored, retrieved, and manipulated efficiently in AI pipelines.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eStructure and Content Overview\u003c\/b\u003e\u003cbr\u003eThe book is carefully structured to build your knowledge step-by-step. It begins with fundamental concepts of data structures and algorithms tailored specifically for AI contexts, progressing towards advanced algorithmic strategies employed in modern AI systems.\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eFoundations: \u003c\/b\u003e Understanding arrays, trees, graphs, and hash tables with AI-relevant examples.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCore Algorithms: \u003c\/b\u003e Learning how graph traversals, nearest neighbor search, optimization algorithms, and tree-based models fit into AI tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSpecialized Topics: \u003c\/b\u003e Deep dives into sparse matrix operations, graph neural networks, heuristic algorithms, and parallel processing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePractical Implementation: \u003c\/b\u003e Coding exercises and AI use cases help reinforce theoretical knowledge with hands-on experience.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAdvanced Challenges: \u003c\/b\u003e Handling big data, streaming algorithms, and reinforcement learning algorithms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFuture Trends: \u003c\/b\u003e A glimpse into quantum AI algorithms, edge AI challenges, and adaptive algorithmic designs.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003col\u003e\u003cli\u003e\n\u003cb\u003eUnderstand Key Data Structures in AI\u003c\/b\u003e\u003cbr\u003eLearn the purpose and internal working of arrays, trees, graphs, and hash tables, and how they enable efficient storage and retrieval of complex AI data types such as tensors, knowledge graphs, and feature maps.\u003c\/li\u003e\u003c\/ol\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333774135447,"sku":"9798297512139","price":1477.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798297512139.webp?v=1768670483","url":"https:\/\/atlanticbooks.com\/products\/data-structure-and-algorithms-for-ai-ml-9798297512139","provider":"Atlantic Books","version":"1.0","type":"link"}