Data Structures And Ai
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Data Structures And Ai
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Author : Jake Brown
language : en
Publisher: Independently Published
Release Date : 2023-11-13
Data Structures And Ai written by Jake Brown and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with categories.
In the ever-evolving landscape of computer science, data structures and artificial intelligence (AI) stand as the cornerstones of efficient and organized information handling and intelligent problem-solving. Whether you're a novice programmer looking to grasp the fundamentals or a seasoned developer seeking to optimize your code while incorporating AI, understanding the interplay of data structures and AI is a pivotal skill. This book delves into the world of data structures and their seamless integration with AI, providing you with a comprehensive guide to mastering them in two of the most influential programming languages: Python and C++. Python's simplicity and readability, coupled with C++'s performance and power, offer a dynamic duo for exploring and implementing data structures in the context of AI-driven projects.
Data Structure And Algorithms For Ai Ml
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Author : Anshuman Mishra
language : en
Publisher: Independently Published
Release Date : 2025-08-11
Data Structure And Algorithms For Ai Ml written by Anshuman Mishra and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Computers categories.
Artificial 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. This book, Data Structures and Algorithms for Artificial Intelligence and Machine Learning, 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. Why This Book? Most 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. This 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. Target Audience Undergraduate and Postgraduate AI and ML students: This book will serve as an essential companion to their academic curriculum, enhancing their grasp of AI-specific algorithmic principles. Researchers and Practitioners: Those developing AI systems will benefit from insights into algorithm optimization and data handling that directly impact model performance. Software Engineers transitioning to AI/ML: 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. Data Scientists and Analysts: Who want to deepen their understanding of how data is stored, retrieved, and manipulated efficiently in AI pipelines. Structure and Content Overview The 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. Foundations: Understanding arrays, trees, graphs, and hash tables with AI-relevant examples. Core Algorithms: Learning how graph traversals, nearest neighbor search, optimization algorithms, and tree-based models fit into AI tasks. Specialized Topics: Deep dives into sparse matrix operations, graph neural networks, heuristic algorithms, and parallel processing. Practical Implementation: Coding exercises and AI use cases help reinforce theoretical knowledge with hands-on experience. Advanced Challenges: Handling big data, streaming algorithms, and reinforcement learning algorithms. Future Trends: A glimpse into quantum AI algorithms, edge AI challenges, and adaptive algorithmic designs. What You Will Learn Understand Key Data Structures in AI Learn 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.
Data Structures And Their Role In Artificial Intelligence
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Author : Dr.M.Sailaja
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-08-27
Data Structures And Their Role In Artificial Intelligence written by Dr.M.Sailaja and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-27 with Computers categories.
Authors: Dr.M.Sailaja, Assistant Professor, Department of Computer Science and Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India. Ms.Y.Surekha, Assistant Professor, Department of Computer Science and Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India. Dr.Lalitha Kumari Gaddala, Senior Assistant Professor, Department of Computer Science and Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India.
Data Structures Algorithms For Ai
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Author : GILBERT. GUTIERREZ
language : en
Publisher: Independently Published
Release Date : 2025-02-03
Data Structures Algorithms For Ai written by GILBERT. GUTIERREZ and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.
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!
Management And Processing Of Complex Data Structures
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Author : Kai von Luck
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-02-16
Management And Processing Of Complex Data Structures written by Kai von Luck and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-16 with Computers categories.
This volume presents the proceedings of the third workshop on Information Systems and Artificial Intelligence, organized by the German Computer Science Society. The 11 invited contributions by well known researchers and developers working in the fields of databases and knowledge representation systems are centered around the topic of management and processing of complex data structures; they give a representative snapshot of the state-of-the-art in this fruitful interdisciplinary research area important for further progress in both, information systems and artificial intelligence. Most of the papers stress the demands for new or extended formalisms and their deductive capabilities, including an analysis of their formal properties for managing complex structures.
Data Structures Using C
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Author : Data Structures using C
language : en
Publisher: QUILL TECH PUBLICATIONS
Release Date : 2024-11-11
Data Structures Using C written by Data Structures using C and has been published by QUILL TECH PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-11 with categories.
“Data Structures Using C” is a comprehensive guide that explores the fundamental concepts and practical applications of data structures through the lens of the C programming language. Authored by Dr. Shaik Fairooz, Mr. V. Ramu, Mrs. R. Pavithra, Mr. Ronak Pravinchandra Joshi, and Dr. T. Prabakaran, the book is tailored to meet the needs of students, educators, and professionals in the field of computer science. It begins with an introduction to C programming essentials, such as variables, functions, and pointers, providing a strong foundation for readers. Progressing systematically, the book delves into linear data structures like arrays, stacks, queues, and linked lists, followed by advanced concepts of non-linear structures such as trees and graphs. The text also emphasizes the importance of searching and sorting algorithms, exploring techniques like binary search, merge sort, and insertion sort. Each topic is presented with clear explanations, practical examples, and detailed implementation techniques to ensure a hands-on learning experience. By combining theoretical concepts with real-world applications, the book enables readers to understand memory management, algorithm optimization, and efficient data organization. Published by Quill Tech Publications in November 2024, it serves as an invaluable resource for academic learning and professional development. The meticulous structure and practical approach of “Data Structures Using C” make it a definitive guide for mastering data structures and their implementations in C programming.
The Handbook Of Artificial Intelligence
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Author : Edward A. Feigenbaum
language : en
Publisher:
Release Date : 1981
The Handbook Of Artificial Intelligence written by Edward A. Feigenbaum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Artificial intelligence categories.
Learning Data Structures In The Generative Ai Era
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Author : Dinesh C Verma
language : en
Publisher: Independently Published
Release Date : 2025-01-08
Learning Data Structures In The Generative Ai Era written by Dinesh C Verma and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Computers categories.
Generative AI has created some significant changes for teaching computer science courses and has rendered many traditional textbooks for undergraduate computer science instruction obsolete. The author ran into this challenge when teaching data structure at a local college. This book is a result of student interaction and lessons learnt from that. This book stakes several new approaches for teaching data structures - it emphasizes the conceptual abstractions underlying data structures as opposed to code that generative AI can create easily, it emphasizes problem solving that forces the student to take creative analysis as opposed to simple problems whose solution is readily available from generative AI tools, and it encourages the student to use generative AI tools at various steps in the book, encouraging them to analyze the correctness of that response. This should provide a new approach for learning and teaching data structures that accommodates the disruption caused by generative AI.
Encyclopedia Of Artificial Intelligence
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Author : Stuart Charles Shapiro
language : en
Publisher: John Wiley & Sons
Release Date : 1992
Encyclopedia Of Artificial Intelligence written by Stuart Charles Shapiro and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
Advanced Topics In Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 1998
Advanced Topics In Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Artificial intelligence categories.