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    Lexicon of Artificial Intelligence Terminology: Lexicon of Tech and Business, #11
    Lexicon of Artificial Intelligence Terminology: Lexicon of Tech and Business, #11
    Lexicon of Artificial Intelligence Terminology: Lexicon of Tech and Business, #11
    Ebook81 pages48 minutesLexicon of Tech and Business

    Lexicon of Artificial Intelligence Terminology: Lexicon of Tech and Business, #11

    By Mustafa Al-Dori

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    About this ebook

    Master the Language of AI with Lexicon of Artificial Intelligence Terminology

    In the rapidly evolving world of artificial intelligence, speaking the technical language fluently is no longer optional - it's a professional necessity. The Lexicon of Artificial Intelligence Terminology gives you instant access to 400 essential AI terms that every tech professional, student, and enthusiast needs to know.

    This comprehensive reference guide covers the complete AI landscape:

    Core Technologies:

    • Machine Learning (Supervised, Unsupervised, Reinforcement)
    • Deep Learning (Neural Networks, CNNs, RNNs, Transformers)
    • Natural Language Processing (BERT, GPT, Word Embeddings)
    • Computer Vision and Image Recognition

    Technical Foundations:

    • Key algorithms (Random Forest, XGBoost, SVM)
    • Model training concepts (Backpropagation, Gradient Descent)
    • Evaluation metrics (Precision, Recall, F1 Score)
    • Data preprocessing techniques

    Emerging Trends:

    • Generative AI and GANs
    • Explainable AI and AI Ethics
    • Federated Learning
    • Quantum Machine Learning

    Industry Applications:

    • AI in Healthcare (Medical Imaging, Drug Discovery)
    • AI in Finance (Algorithmic Trading, Fraud Detection)
    • AI in Manufacturing (Predictive Maintenance)
    • Smart Cities and IoT implementations

    Each of the 400 alphabetically-organized terms includes:

    1. Precise, technical definition
    2. Clear explanation of significance
    3. Practical application examples
    4. Related concepts for deeper understanding

    Perfect For:

    • AI/ML engineers and data scientists
    • Software developers implementing AI solutions
    • Tech entrepreneurs building AI products
    • Computer science students and researchers
    • Business leaders adopting AI technologies
    • Anyone curious about artificial intelligence

    Special Features:

    • Comparison of similar terms and concepts
    • Real-world implementation examples
    • Common pitfalls and best practices
    • Quick-reference formatting

    Part of the acclaimed Lexicon of Tech and Business series - trusted by professionals worldwide for clear, authoritative terminology references. Whether you're debugging a neural network or explaining AI concepts to stakeholders, this book ensures you'll always use the right terms correctly.

    LanguageEnglish
    PublisherMustafa Al-Dori
    Release dateApr 1, 2025
    ISBN9798230517726
    Lexicon of Artificial Intelligence Terminology: Lexicon of Tech and Business, #11
    Author

    Mustafa Al-Dori

    Dr. Mustafa Kamal Mustafa Al-Dori is a business administration expert specializing in marketing. He earned his doctorate from Ain Shams University, Faculty of Business, and has a strong passion for bridging theory with real-world applications. With extensive experience in supporting small and medium-sized enterprises, Dr. Al-Dori has contributed to numerous successful projects. He is a distinguished speaker at conferences, a contributor to training programs, and an author of research published in high-impact journals. Through his work, he continues to inspire and empower the next generation of business leaders.

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      Book preview

      Lexicon of Artificial Intelligence Terminology - Mustafa Al-Dori

      DEDICATION

      For my parents, whose love and guidance shaped my world.

      ACKNOWLEDGMENTS

      I am deeply grateful to everyone who played a role in bringing this book to life. To my family, whose unwavering support fuels my ambition; to my friends, who inspire and challenge me; and to my mentors and colleagues, whose insights and wisdom have guided my path. Your encouragement has been invaluable.

      Thank you for believing in this journey.

      About the Book

      Lexicon of Artificial Intelligence Terminology is a comprehensive reference guide featuring 400 essential AI terms and concepts. Part of the Lexicon of Tech and Business series, this book provides clear, concise definitions of fundamental AI terminology - from basic machine learning principles to cutting-edge applications in various industries.

      Presented in an easy-to-use A-Z format, each of the 400 terms includes a straightforward definition and practical explanation. The book covers the complete AI landscape including machine learning algorithms (Random Forest, GPT-3), technical concepts (Backpropagation, Hyperparameter Tuning), and real-world applications (AI in Healthcare, Autonomous Vehicles).

      Key Features:

      400 carefully selected AI terms covering fundamentals and advanced concepts

      Clear, jargon-free definitions accessible to beginners and useful for experts

      Practical explanations showing real-world applications

      Alphabetical organization for quick reference

      Part of the trusted Lexicon reference series

      Who Will Benefit:

      AI/ML professionals and students

      Tech entrepreneurs and business leaders

      Software developers working with AI

      Academics and researchers in computer science

      Anyone interested in understanding AI terminology

      About the Series:

      The Lexicon of Tech and Business series provides specialized terminology references across business, technology, and legal fields. Each book in the series follows the same practical format - 400 key terms with clear definitions - making complex subjects accessible to professionals and learners alike.

      Preface

      Artificial Intelligence has transformed from a niche technical field to a mainstream technology impacting nearly every industry. With this rapid adoption comes a flood of specialized terminology that can be overwhelming for both newcomers and experienced professionals alike.

      This lexicon was created to demystify AI vocabulary by providing precise definitions for 400 fundamental terms that matter most in the field. We've carefully selected concepts covering:

      Foundational machine learning algorithms and techniques

      Neural network architectures and deep learning methods

      AI applications across industries

      Emerging areas like explainable AI and AI ethics

      Each entry provides a concise definition followed by a clear explanation of the concept's significance and practical applications. Whether you're studying AI, working with AI systems, or simply trying to follow technical discussions about artificial intelligence, this book will help you speak and understand the language of AI with confidence.

      Keep this lexicon handy as a quick reference when you encounter unfamiliar terms in research papers, technical documentation, or industry discussions. With these 400 terms at your fingertips, you'll be equipped to navigate the evolving world of artificial intelligence.

      ––––––––

      Terminology

      Activation Function: An activation function is a mathematical function applied to the output of a neural network layer, determining whether a neuron should be activated based on the input.

      Actor-Critic Algorithm: The actor-critic algorithm is a reinforcement learning method that combines two components: the actor, which updates the policy, and the critic, which evaluates the chosen actions, allowing the agent to learn both the value function and the policy.

      Adam Optimizer: Adam (Adaptive Moment Estimation) is an optimization algorithm that combines the advantages of both AdaGrad and RMSProp, adjusting learning rates based on estimates of first and second moments of the gradient.

      Adversarial Machine Learning: Adversarial machine learning involves creating perturbations or adversarial examples in the data that are designed to deceive or mislead machine learning models, often used in testing model robustness.

      AI Bias: AI bias occurs when an AI system produces results that are systematically prejudiced due to biased training data, leading to unfair or discriminatory outcomes.

      AI Ethics: AI ethics is the study of the moral implications and societal impact of AI technologies, focusing on fairness, transparency, accountability, and privacy.

      AI in 5G Networks: AI in 5G networks uses machine learning and data analytics to optimize network performance, improve data transmission efficiency, and manage the increasing demand for high-speed connectivity in 5G-enabled environments.

      AI in Agriculture: AI in

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