The MEGA AI Dictionary: 1024 Definitions to Fully Understand Artificial Intelligences

The MEGA AI Dictionary, the essential reference tool to understand and explore artificial intelligence in all its dimensions.Since the launch of ChatGPT at the end of 2022, artificial intelligence (AI) has become an unavoidable topic. Ubiquitous in our lives, it fascinates as much as it raises questions. Behind this now-familiar term lies a rich, complex, and often misunderstood universe.The Mega Dictionary of AI provides a clear and structured gateway into this ecosystem:Organized around more than 1,000 definitions divided into 10 major thematic categories and enriched with detailed illustrations, it enables readers to understand the concepts, technologies, and uses that shape today’s AI landscape.A pedagogical and accessible approach:Designed to make AI understandable to everyone, this dictionary explains each concept with precision, concrete examples, and links to related terms. Thanks to its multi-level reading approach (beginner, intermediate, advanced), each reader can progress at their own pace, according to their needs and level of knowledge.Rigorous and well-documented content:The result of several years of work and thousands of hours of research, this book combines scientific rigor with a strong educational intent. Each definition is written with clarity and precision to offer a global comprehensive and structured understanding of the challenges surrounding AI.An essential tool for anyone seeking to understand what artificial intelligences truly are and how they are used in real-world applications.What you will find in this dictionary:Over 1,000 carefully crafted definitions10 thematic categories to structure your understanding of AIA pedagogical, multi-level approach (beginner, intermediate, advanced)Nearly 20 detailed illustrations to better grasp major conceptsFor each definition, related terms to build connections between key notionsA thematic index and a user guide for easy navigationTable of contents:AcknowledgmentsWhy this dictionary?How to use this bookIntroductionDefinition of Artificial IntelligenceChapters:1️⃣ The Fundamentals2️⃣ Advanced Mathematics and Statistics3️⃣ Data Engineering4️⃣ Data Vectorization and Feature Engineering5️⃣ Algorithms and Learning Techniques6️⃣ Models and Network Architectures7️⃣ Metrics and Evaluation Methods8️⃣ AI Optimization and Deployment9️⃣ Use Cases and Application Domains🔟 Ethics, Governance and ResponsibilityIndexExamples of definitions:Machine Learning, Deep Learning, Agent, Artificial General Intelligence (AGI), Generative Artificial Intelligence (GenAI), Prompt Engineering, Computer Vision, Training Dataset, Embedding, Inference, Algorithmic Bias, Large Language Model (LLM), Gradient Descent, Neural Network, Explainable AI, Linear Regression, Decision Tree, Backpropagation, Supervised Learning, Overfitting, Ethical AI, Metaverse, Singularity, ... Read more