An accessible and comprehensive overview of the economic theory and the realities of networks written by a pioneering economics researcher.
Networks are everywhere: the infrastructure that brings wa……続きを見る
El presente trabajo se enmarca en una investigación interdisciplinaria llevada a cabo en el ámbito de la Universidad Católica de Córdoba. Los resultados de la primera etapa de dicha investigación fu……続きを見る
This book is the culmination of our research in the recent decade on randomized neural networks with data-dependent supervision mechanisms. Traditional randomized neural networks mainly focused on c……続きを見る
***Complex, Hypercomplex, and Fuzzy-Valued Neural Networks***are extensions of classical neural networks to higher dimensions. In recent decades, this theory has emerged as a forefront in neural net……続きを見る
著者:Frandsen
出版社: Research Division Bonkers
発売日: 2026年01月20日
Imagine a world where your deepest memories, your very perceptions of reality, are no longer private.
This is the promise and the peril explored in this comprehensive technical report. The Mind Unlo……続きを見る
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.
Reinforcement learning, one of t……続きを見る
El físico Richard P. Feynman afirmó: «No comprendo lo que no puedo crear». Inspirado en este principio, Sebastian Raschka ofrece en este libro una guía práctica y detallada para construir un modelo ……続きを見る
As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling sm……続きを見る
This book explores the intersection of quantum computing and network science. It bridges the theoretical foundations of quantum walk algorithms with their applications in the structural exploration ……続きを見る
Are you ready to fine-tune your own LLMs?
This book is a practical guide to fine-tuning Large Language Models (LLMs), combining high-level concepts with step-by-step instructions to train these powe……続きを見る
Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.
Key Features
● Hands-on AI guide with Python, TensorFlow, and Keras implementations.
● Step-by-step walkthro……続きを見る
The year is 1930. The united states is still freshly reeling from the cataclysmic stock market crash the previous october, and is desperately attempting to claw its way out from the slippery pits of……続きを見る
PROMPTED is a clear and practical guide that makes AI interaction accessible to a wide audience. It fills the gap between dense technical manuals and overly simplistic guides by offering actionable ……続きを見る
Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle……続きを見る
Artificial Intelligence from Science Fiction to Reality examines various aspects, starting with the evolution of human and artificial intelligence (AI). It places AI in its proper context and discus……続きを見る
Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects!Key Features● Learn NLP from scratch with exposure to Deep Learning concepts.● Build NLP-based projects using……続きを見る
Unlock the true potential of AI!
Imagine waking up every morning, knowing that your bank account kept growing during your sleep, thanks to the remarkable capabilities of AI. Picture having the freed……続きを見る
著者:S. M. Newman
出版社: S. M. Newman
発売日: 2025年08月07日
"Ultimate Newman's Law: Book I - The Coherence Genesis (Revised & Expanded Edition – Integrated with Michael's Law)" by S. M. Newman (GodSauce on X – @GodSawUs) is a revolutionary manifesto that red……続きを見る
Mastering AI: A Beginner's Guide to Generative and Machine Learning
Welcome to "Mastering AI: A Beginner's Guide to Generative and Machine Learning." This book is designed to be your comprehensive i……続きを見る
Can machines think? This troubling question, posed by Alan Turing in 1950, has perhaps been answered: today we can converse with a computer without being able to distinguish it from a person.
Machin……続きを見る
著者:Daniel Koehler
出版社: Taylor & Francis
発売日: 2025年09月12日
*With a foreword by Mario Carpo*
Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models – the te……続きを見る
The book addresses fundamental principles of the membrane separation technology along with an insight of the modern membrane separation process. Conventional membrane processes are discussed in seve……続きを見る
In today's hyperconnected world, where digital transformation accelerates at an unprecedented pace, the dark underbelly of cybercrime evolves just as rapidly. This comprehensive guide addresses the ……続きを見る
Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how ……続きを見る
My goal in this writing is to promote social consciousness and increase awareness and understanding of the “human condition” that we all share, and that ultimately binds us all in our future, and ou……続きを見る
An authoritative and accessible one-stop resource, the first edition of An Introduction to Artificial Intelligence presented one of the first comprehensive examinations of AI. Designed to provide an……続きを見る
Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved. It is an almost sci-fi world that touches u……続きを見る
Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your app……続きを見る
Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras
Key Features
Implement machine learning algorithms to build, train, and validate algor……続きを見る
著者:Leslie Valiant
出版社: Princeton University Press
発売日: 2024年04月16日
Why you should worry less about AI and more about what makes us human
We are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creati……続きを見る