ISBN: 9798190340075 - the mechanics of artificial intelligence: from first principles to modern ai systems: a complete guide to understanding how artificial intelligence actually works: 1 (6 resultados)

Taschenbuch. Condición: Neu. Neuware - Artificial intelligence is changing the world, but how does it actually work >>>>Why GPUs became essential to modern AI How machine learning systems learn from data How neural networks, weights, gradients, and backpropagation work Why activation functions make deep learning possible How tokens, embeddings, attention, and transformers process language How large language models are pretrained and fine-tuned What RLHF, RAG, mixture of experts, reasoning models, and AI agents actually do Why language models hallucinate How open-weight and closed-weight models differ How the AI infrastructure stack fits together What AGI, AI safety, governance, energy use, and automation may mean for the future >>>Move beyond the buzzwords and understand the mechanics behind modern AI.…

Paperback. Condición: new. Paperback. Artificial intelligence is changing the world, but how does it actually work? The Mechanics of Artificial Intelligence explains AI from the ground up, using clear language, practical examples, and original diagrams. It is written for readers who want to understand the technology behind modern AI rather than simply memorize technical terms. Starting with the meaning of intelligence, the book gradually builds from bits, processors, memory, vectors, and probability to machine learning, neural networks, transformers, large language models, AI agents, and the wider AI industry. Inside this book, you will learn: How computers represent and process information Why GPUs became essential to modern AI How machine learning systems learn from data How neural networks, weights, gradients, and backpropagation work Why activation functions make deep learning possible How tokens, embeddings, attention, and transformers process language How large language models are pretrained and fine-tuned What RLHF, RAG, mixture of experts, reasoning models, and AI agents actually do Why language models hallucinate How open-weight and closed-weight models differ How the AI infrastructure stack fits together What AGI, AI safety, governance, energy use, and automation may mean for the future Each chapter includes intuitive explanations, worked examples, diagrams, common misconceptions, practical takeaways, summaries, glossaries, and review questions. No programming or advanced mathematics background is required. Mathematical ideas are introduced visually and explained step by step. This book is suitable for students, executives, investors, consultants, technology professionals, educators, entrepreneurs, and curious readers who want a serious but accessible introduction to artificial intelligence. Move beyond the buzzwords and understand the mechanics behind modern AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. Artificial intelligence is changing the world, but how does it actually work? The Mechanics of Artificial Intelligence explains AI from the ground up, using clear language, practical examples, and original diagrams. It is written for readers who want to understand the technology behind modern AI rather than simply memorize technical terms. Starting with the meaning of intelligence, the book gradually builds from bits, processors, memory, vectors, and probability to machine learning, neural networks, transformers, large language models, AI agents, and the wider AI industry. Inside this book, you will learn: How computers represent and process information Why GPUs became essential to modern AI How machine learning systems learn from data How neural networks, weights, gradients, and backpropagation work Why activation functions make deep learning possible How tokens, embeddings, attention, and transformers process language How large language models are pretrained and fine-tuned What RLHF, RAG, mixture of experts, reasoning models, and AI agents actually do Why language models hallucinate How open-weight and closed-weight models differ How the AI infrastructure stack fits together What AGI, AI safety, governance, energy use, and automation may mean for the future Each chapter includes intuitive explanations, worked examples, diagrams, common misconceptions, practical takeaways, summaries, glossaries, and review questions. No programming or advanced mathematics background is required. Mathematical ideas are introduced visually and explained step by step. This book is suitable for students, executives, investors, consultants, technology professionals, educators, entrepreneurs, and curious readers who want a serious but accessible introduction to artificial intelligence. Move beyond the buzzwords and understand the mechanics behind modern AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…