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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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Paperback. Artificial intelligence is everywhere now - in conversations, courses, job descriptions, business tools, apps, news, classrooms, and everyday decisions.But for many readers, the hardest part of AI is not the technology itself.It is the language.Words like machine learning, deep learning, neural network, dataset, model, training, inference, token, embedding, reinforcement learning, reward, policy, generative AI, hallucination, RAG, evaluation, bias, alignment, and trustworthy AI can make a beginner feel left behind before real learning even begins.AI Terminology Without Fear was written for that exact moment.This book is a calm, first-principles guide for non-technical readers who want to understand the words behind artificial intelligence without memorizing dry definitions or pretending to understand technical conversations. Instead of throwing jargon at the reader, the book builds meaning slowly, clearly, and humanly.Each term is explained through simple language, everyday examples, dialogues, visual learning pages, mind maps, reflection pauses, and layered explanations. The goal is not to rush the reader into advanced mathematics or programming. The goal is to help the reader understand what each AI term means, why it exists, what problem it solves, where it appears, and how it connects to other ideas.Inside this book, readers will learn the language of: Artificial intelligence and intelligent systemsMachine learning, data, features, labels, models, training, and predictionDeep learning, neural networks, layers, weights, loss, and backpropagationReinforcement learning, agents, environments, actions, rewards, policies, and valueGenerative AI, language models, tokens, prompts, transformers, embeddings, RAG, and hallucinationReal-world AI systems, deployment, monitoring, drift, evaluation, safety, privacy, and governanceTrustworthy AI, bias, fairness, transparency, human oversight, and future AI languageThis is not a dictionary.It is a meaning-building journey.The book is designed for students, career switchers, founders, managers, teachers, creators, self-learners, and curious readers who want to understand AI conversations with confidence. It is especially useful for readers who have heard many AI words but never received a patient explanation from the ground up.The book also includes a special Value Edition section focused on scratch-layer revision, brain training, math fear removal, problem chunking, and first-principles thinking. This section helps readers develop the habit of breaking complex ideas into smaller, understandable pieces.If you have ever thought: "I want to understand AI, but the words scare me.""I hear machine learning and deep learning everywhere, but I do not know the difference.""I want to follow AI discussions without feeling lost.""I need a beginner-friendly AI vocabulary book that explains terms clearly.""I want to learn AI from first principles before going deeper."Then this book is written for you.AI Terminology Without Fear helps readers move from confusion to clarity, from jargon fear to calm understanding, and from passive listening to confident questioning.Understand the words.Build the meaning.Enter the AI world without fear. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9798185681954

Título
AI Terminology Without Fear (Paperback)
Autor
Ravindra Kumar Nayak
Editorial
Independently Published
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798185681954
Serie
Libro 1 de 10: The First-Principles Terminology Ladder Understand technical words clearly before learning the technical world deeply.

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

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