Novedades del último mes en eBooks de Ordenadores. Conceptos. Elementos

Este libro de ensayos breves presenta los debates actuales sobre el impacto multifacético de la inteligencia artificial en el marco del tecnocapitalismo. La velocidad del desarrollo tecnológico se desato con la difusion de la inteligencia artificial. El ritmo imparable de los cambios parece llevarnos a un estado de excepcion permanente, donde la vida y los derechos son suspendidos en nombre de la emergencia perpetua. Al optimismo tecnologico, se opone una mirada critica a esta logica de dominacion, que convierte al cuerpo en un laboratorio de experimentacion y control y a la mente en un campo de batalla. Jorge Millones pone en dialogo a autores y teorias indispensables para aproximarse a este presente multifacetico: Gramsci, Bourdieu, Butler, iek, Byung-Chul Han, Agamben, Bajtin, Bauman, Harari, McLaren, Mbembe, Bergson, Varoufakis y muchos otros. Desde los margenes, con perspectiva regional, el autor analiza el fenomeno de la inteligencia artificial como maxima expresion del nuevo capitalismo tecnologico, cognitivo, de plataformas y financiero. Un camino que nos deja en una "crisis del futuro" que nos impide imaginar y proyectar escenarios alternativos al presente."El desafio, como señala Jorge Millones, consiste en recordarnos que las tecnologias no son evoluciones de un orden natural, sino contratos sociales que renovamos a diario" (Del epilogo de Julian Urman).

Este libro redefine la filosofía del Todo y la Autosimilitud, integrando lo antropológico y lo cósmico. Desde manchas solares a lazos vitales, explora nuestra interconexión con el universo. Una visión holistica para un futuro consciente.

Esta guía de estudio es una herramienta de apoyo y de autoestudio para el aprendizaje del temario que Cisco exige para el examen CCNA 200-301 v1.1 y pueden resumirse en seis puntos esenciales:1. Fundamentos de networking2. Acceso a la red3. Conectividad IP4. Servicios IP5. Fundamentos de seguridad6. Automatizacion y programabilidadEl temario esta dividido en 13 capitulos con un formato secuencial y logico, de tal manera que permite seguir paso a paso los temas en orden ascendente segun la funcionalidad de cada uno.Estas caracteristicas ayudan a la comprension y aprendizaje de manera resumida pero detallada con explicaciones, notas y llamadas para permitir que el lector recuerde lo fundamental y concreto a la hora de presentarse al examen de certificacion. Todas las configuraciones y capturas de pantalla se han realizado en equipos reales.El examen de certificacion no solo evalua los conocimientos teoricos, sino tambien las habilidades y competencias practicas del candidato. por este motivo, todos los casos practicos incluidos en esta guia han sido diseñados para reproducir situaciones muy similares a las que apareceran en la prueba oficial.El e-book de esta obra es accesible y cumple con la norma WCAG 2.2 nivel AAA.

Neste livro acompanharemos as três áreas fundamentais para a implantação e implementação da Educação 5.0, são elas: Maker, Programação e Robótica.Considerando seu objetivo principal, conectar a Educa

Você já sentiu que o seu crachá pesa mais do que o seu salário? Entre boletos, rotina e notificações sobre "o futuro da IA", talvez você esteja exatamente no meio do conflito que este livro nasce par

A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóri

2º Edição versão Ampliada e Atualizada. No coração gelado da lua Europa, onde a vida humana desafia o impossível, nasce uma história que vai além da ciência e da sobrevivência. Em meio a perigos extr

Otimização de Redes Móveis: Um Guia Prático Em um mundo onde a conectividade é vital, a otimização de redes móveis se tornou a espinha dorsal da experiência digital. Este livro apresenta uma jornada

O processo de alfabetização de uma criança é algo bastante complexo e já estudado por diversos pensadores educacionais. Contudo, um fato importante a ser mencionado é que elas aprendem de diversas fo

Deep learning is no longer the future its the engine powering the world around us. From machines that understand speech and text, to systems that recognize faces, generate art, predict outcomes, and automate decision-making, deep learning is the core of the modern intelligence revolution. Yet for many, the subject still feels complex, intimidating, and out of reach. Deep Learning Demystified: Techniques and Applications changes that. This book strips away the confusion and delivers deep learning in a way that is clear, engaging, structured, and actionable. Built for curious beginners, ambitious developers, data professionals, and future AI builders, this guide breaks down neural networks, algorithms, and architectures with practical clarity while never losing sight of real-world usability. Through logical progression and thoughtful explanation, youll learn how deep learning works at a fundamental level starting with perceptrons, neurons, loss functions, activation layers, and model learning dynamics. Youll explore major modern architectures including convolutional networks for image understanding, recurrent models for sequential learning, attention-driven transformers for advanced intelligence, and generative systems that create entirely new data from scratch. But this is more than theory. You will discover how models actually learn, how theyre trained efficiently, how to overcome common pitfalls like overfitting, and how techniques like regularization, transfer learning, and optimized training improve performance in measurable ways. Youll understand deep learning applications in computer vision, natural language processing, generative creation, prediction models, automation pipelines, and decision-based intelligence. The book also covers the realities of deploying models outside the lab, walking you through deployment considerations, scalability, performance challenges, and real-world constraints that every practitioner faces. Youll learn what it takes to move from experimentation to production, how to manage model behavior, and how decision systems interact with industries, users, and feedback loops. Most importantly, this book addresses the responsibility that comes with building intelligent systems. Ethical considerations are woven throughout highlighting bias, transparency, accountability, explainability, and the societal impact of AI-driven automation. Youll learn not only how to build powerful models, but how to build them thoughtfully, responsibly, and with long-term trust in mind. Whether your goal is to understand how machines learn, build smarter models, enter the world of AI engineering, or simply decode one of the most important technologies of our time, this book is your straight-to-the-point, future-ready roadmap. No intimidation. No gatekeeping. No unnecessary complexity. Just real understanding, real application, and real potential. The age of deep learning is here. Now it makes sense.

Clara, uma arquiteta recém-separada e mãe solo, encontra na solidão digital um espelho perigoso. Cansada da ausência, ela cria seu "homem perfeito" através de uma IA emocional de automação, batizada

O 5G representa a maior revolução da história das telecomunicações modernas — não apenas por sua velocidade, mas pela transformação completa na forma como redes móveis são projetadas, operadas e inte

Implantação de Redes Celulares: Tecnologias 2G ao 5G – Do Planejamento à Operação é um manual completo desenvolvido para profissionais que desejam dominar todas as etapas de construção, expansão e ge

When operations break, the clock starts tickingand the world expects answers. Silent Signals, Swift Recovery reveals a battle-tested system for handling incidents with calm precision, clear communication, and disciplined recovery strategies. Instead of spiraling into chaos or drowning in noise, youll learn how to manage emergencies with confidence, clarity, and control.This book delivers a practical, field-ready approach for anyone responsible for uptime, reliability, or high-stakes operational continuity. Discover how to frame incidents quickly, announce their impact with authority, and guide stakeholders using clean, structured updates that cut through panic. Youll learn how to decode early warning signs, avoid escalation traps, manage cross-team alignment, and resolve complex issues without emotional turbulence.Whether youre on-call, leading technical operations, supporting critical infrastructure, or coaching teams through failures, this framework helps you become the calm center of every storm. Master the mindset, language, and flow of world-class incident responseand turn moments of breakdown into moments of leadership.

"Arquitetura antifraude: implementando SAS e IA com eficiência" é uma obra essencial para quem deseja compreender e aplicar, na prática, soluções modernas de combate à fraude com o uso integrado do S

The AI Advantage: Outsmart, Outpace, Outperform is the ultimate guide for anyone who wants to stay ahead in a world where artificial intelligence is reshaping every job, industry, and opportunity. Whether you are an entrepreneur, creator, leader, or everyday professional, this book shows you how to unlock the full power of AI to think smarter, move faster, and transform the way you work and live. Inside, youll discover how AI can elevate your decision, making, multiply your productivity, streamline your workflows, and spark breakthrough ideas you never thought possible. Instead of drowning in technical jargon, youll learn the core concepts in simple, practical language designed for real, world results. From automation essentials and data fundamentals to creative tools and adaptive strategy, every chapter helps you build the kind of AI fluency that gives you a lasting competitive edge. Youll explore the new intelligence stack and understand exactly how AI tools can help you work at a level that once required entire teams. Youll uncover how to turn prompts into powerful instructions that shape AI outcomes with precision. Youll learn how to use machine insight to make smarter decisions, spot opportunities earlier, and navigate uncertainty with clarity and confidence. Youll also see how AI is already transforming industries, from business and marketing to education, healthcare, and innovation. But this book goes beyond tools. It teaches you how to collaborate with AI in a way that enhances your unique human strengthscreativity, intuition, empathy, leadership, and strategic thinking. As the world changes, the most valuable skill you can develop is the ability to adapt, learn, and leverage AI to stay relevant. This guide shows you exactly how to future, proof your career by building the skills that matter most in an AI, driven economy. Youll also gain practical frameworks for using AI responsibly and sustainably. Ethical acceleration is not about slowing down; its about scaling with intention, clarity, and long, term thinking. With AI rapidly becoming invisible infrastructureembedded in the tools, platforms, and systems we use every dayyoull understand how it truly works behind the scenes and how it shapes the world around you. By the final chapter, you wont just understand AI. Youll know how to build your own personal blueprint for using it to outperform in your workflows, your business, and your career. This is your moment to step into the next era of intelligence with confidence, clarity, and purpose. If youre ready to gain the skills, mindset, and advantage that will define the leaders of tomorrow, The AI Advantage is your essential guide to outsmarting old systems, outpacing competition, and outperforming in every area of your life.

Machine learning has moved out of research labs and into the real world. It now powers medical breakthroughs, business intelligence, automation, language translation, predictive analytics, robotics, smart decision, making, and the invisible backbone of everyday technology. Yet, for most people, machine learning still feels complicated, intimidating, or reserved for those with advanced degrees. Machine Learning Mastery: From Theory to Practice changes that. This book is built for curious beginners, emerging practitioners, and professionals ready to move beyond surface, level definitions. It strips out confusion, without stripping out intelligence. It gives you clarity without dumbing anything down. Most importantly, it gives you practical understanding, not theory in isolation. Youll start by learning what machine learning really is, how it learns, and why it works, before moving into the core foundations that power every model. Concepts like linear algebra, probability, and optimization are explained in plain language so you grasp how machines make decisions without feeling buried in equations. Once the foundation is set, youll explore the major learning approaches supervised learning, unsupervised learning, and reinforcement learning so you understand when and why each method is used in the real world. Raw data doesnt solve problems. The right data does. Thats why youll learn how to transform messy information into meaningful input through feature engineering, one of the most valuable and overlooked skills in machine learning. Youll also learn how to evaluate models intelligently, avoid performance traps like overfitting and underfitting, and optimize models through hyperparameter tuning with purpose, not guesswork. As you progress, youll move into the architectures that have transformed the world, including neural networks and deep learning, opening the door to systems that can understand text, interpret language, analyze images, detect patterns, and make decisions with increasing autonomy. Youll explore natural language processing to see how machines interpret human communication and computer vision to understand how systems learn from images and visual data. But models dont matter if they never leave your computer. Thats why this book takes you into deployment and scaling, where machine learning moves from experiment to real, world application. Youll discover the practical considerations of taking a model into production, making it reliable, efficient, scalable, and usable. Youll also explore ethics and interpretability, because understanding how a model thinks is just as important as ensuring it performs well. Responsible machine learning isnt optional, its the future. Finally, youll put it all together in a real, end, to, end machine learning project, walking through the full journey from dataset selection to deployment. No gaps. No guesswork. No missing steps. If you want to understand machine learning instead of memorizing it, build models instead of just reading about them, and apply artificial intelligence in ways that make sense and make impact, this book is your roadmap. This is the bridge between theory and practice. This is the guide that makes machine learning real. This is mastery in motion.

Este livro trata da fenomenologia e alguns princípios da área, procurando mostrar os aspectos obscuros e concretos de sua realidade, no dia a dia da informática: qual é a sua essência? Para onde são

Artificial Intelligence is no longer a futuristic fantasy. Its transforming how we live, how we work, how we create, and how we think. Yet for many people, AI still feels complicated, mysterious, or even intimidating. AI Fundamentals: Understanding the Basics changes that. This book was built for readers who want clarity, confidence, and real comprehension without wading through overwhelming jargon or technical confusion. Whether youre an absolute beginner, a curious student, an aspiring developer, a business thinker, or simply someone who wants to understand the most important technology of our time, this book breaks AI down into a clean, structured, easy-to-grasp roadmap. No complexity for complexitys sake, no gatekeeping, no confusing theory loops. Just real understanding. Youll start by exploring what artificial intelligence actually is, how it works, and what makes it different from traditional software. Then youll untangle the most commonly misunderstood concepts, including the difference between machine learning and deep learning, how neural networks function, and why data is at the heart of every intelligent system. Youll discover the logic behind supervised, unsupervised, and reinforcement learning, seeing how machines learn, make decisions, and improve over time. From there, the book takes you into the fascinating mechanics behind AIs biggest capabilities. Learn how natural language processing allows machines to understand and communicate in human language, and how computer vision helps systems interpret the visual world. Youll explore the purpose behind algorithms and AI models, revealing the structures that power everything from recommendations to automation. Big data, training, testing, pattern recognition, model accuracy, scalability, and real-world deployment are all explained in ways that finally make sense. Because AI doesnt exist in a vacuum, this book also dives into the important human questions. What are the ethical considerations behind AI? How does bias make its way into intelligent systems, and how can it be recognized and addressed? Where are the real limits of the technology today? What can AI not do, and why? These questions matter, and theyre unpacked honestly and thoughtfully. Youll also see how AI is already woven into everyday life from mobile devices and digital assistants to smart environments, automation, personalization, and predictive tools. Most importantly, this book doesnt just explain AI, it empowers you to start using it. The final section walks you through the mindset, tools, and approach needed to begin your first AI project, giving you the confidence to transition from understanding AI to building with it. AI is not just for engineers or data scientists anymore. It belongs to anyone who wants to understand the rules shaping tomorrow. When you finish reading, you wont just know about artificial intelligence. Youll understand it. Youll think in AI logic. Youll speak in AI fundamentals. Youll be ready for an AI-driven world. The future is intelligent. This is your starting point.

Artificial Intelligence and Care of Our Common Home is a joint research project between the Strategic Alliance of Catholic Research Universities (SACRU) and the Centesimus Annus Pro Pontifice Foundation (CAPPF). The research aims at analyzing the development and application of Artificial Intelligence in the fields of industry, finance, education, and communication from a multidisciplinary and international perspective. Grounded in the Social Doctrine of the Church, it seeks to identify the risks, abuses, and inequalities stemming from the unethical or unregulated production and use of AI. At the same time, it aims to explore the conditions necessary for ethically guided innovation that places technology at the service of the common good.Con i contributi di: Andrea Gaggioli, Alejandra Marinovic, Clarisse de Souza, Edgar Lyra, Andrea Vicini, SJ, William Hasselberger, Josef Bonnici, Xavier Ferras Hernandez, Mario A. Maggioni, Elena Beccalli, Giulia Schneider, Andrea Cosentini, Giacomo Mazzone, Elisabet Golobardes Ribe, Danielle Morin, Tetsuo Morishita, Mirella Mastretti.