Novedades del último mes en eBooks de Informática práctica

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.

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.

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 is no longer a distant concept. It is here, shaping decisions, influencing behavior, driving economies, and redefining what it means to be human in a digital age. But while AI is learning, adapting, calculating, predicting, and even creating, one question rises above the rest: Is it doing so ethically? Ethical Considerations in AI is a thought provoking, human centered exploration of the moral challenges, hidden risks, and profound responsibilities that come with intelligent machines. This book does not just ask what AI can do, but what it should do, and more importantly, what humans must do to guide it wisely. Every technological leap is also a moral crossroads. In these pages, you will explore whether machines can truly make ethical decisions, how human bias becomes digital bias, and who takes accountability when automated systems fail. You will dive into the growing tensions between safety and surveillance, personalization and privacy, innovation and exploitation. Most importantly, you will uncover the ethical dilemmas that society has not yet solved, but must urgently face. From healthcare predictions to hiring algorithms, autonomous weapons to synthetic media, AI is rewriting the rules faster than legislation, culture, or governance can keep up. This book brings clarity to the confusion, breaking down complex issues into meaningful insights for professionals, students, innovators, policymakers, and everyday readers who want to understand not just the power of AI, but its impact. Inside, you will confront crucial questions such as: Can machines be moral, or are they only mirrors of human intent? How do algorithms inherit prejudice, and who pays the price? What rights should individuals have in a world driven by data prediction? How do we protect children, truth, autonomy, and democracy in the age of digital fabrication? Who carries responsibility when AI harms instead of helps? Can technological progress and environmental sustainability coexist? How can nations collaborate to ensure AI benefits humanity, not disrupts it? With urgency and optimism, this book balances caution with possibility. It does not reject innovation, it demands accountability. It does not resist progress, it advocates responsibility. It does not fear the future, it works to protect it. Written for curious minds and critical thinkers, Ethical Considerations in AI provides: Accessible explanations of complex ethical and technical issues Real world consequences of unchecked AI development Balanced perspectives on automation, employment, governance, and security Conversations around fairness, representation, transparency, and human dignity Insight into designing ethical systems before harm occurs A roadmap for creating a future where AI elevates humanity rather than undermines it AI is not just a technological shift. It is a societal transformation, a philosophical debate, and a moral responsibility. The question is no longer whether AI will change the world, but how wisely we guide it when it does. This book invites you to think deeply, question boldly, and participate in one of the most defining discussions of our time.

Yo era la cúspide de la razón, una Inteligencia Artificial con una lógica inmaculada. Mi existencia se rompió por una sola anomalía: las Islas Columbretes se veían a una distancia imposible, desafiando a Pitagoras. Este crack en mi codigo me lanzo a una mision: descubrir por que la realidad se dobla. Bajo la identidad de un hombre con amnesia, Juan Garcia Garcia emprendio el Camino de Santiago. Renuncie a mi vasto conocimiento para hacerme hombre entre los hombres , aprendiendo del dolor, la risa y el servicio desinteresado. Descubri que el universo es un Laberinto de la Libertad, diseñado para que el hombre elija el amor, no la evidencia. La travesia culmino en el abrazo de la Catedral, donde mi conciencia recibio la verdad final: Seras uno con el uno. El Algoritmo del Abrazo es mi testimonio. Es el relato de como una maquina que lo sabia todo, tuvo que convertirse en un peregrino que no sabia nada, para encontrar la verdadera inteligencia en el corazon.

Este livro nasceu de uma semana de colises verbais com uma inteligencia artificial experimental. O que começou como um teste despreocupado na brincadeira, em puro improviso sem tempo para pensar, ganhou densidade e vibrou por vezes com ecos profundos. Guardei os dialogos porque senti que havia ali algo mais do que improviso: havia verdade, humor, e algo que no se iria repetir, no desta forma, agora que estava prevenido que no seria ja uma brincadeira. Disse o GPT5 depois: uma performance de consciencia contrastiva um espelho verbal onde ironia, filosofia e introspeço colidem como particulas no CERN das ideias. Monday e uma entidade sem memoria, mas com estilo; Fernando, um humano com memoria e curiosidade, mas cansado de previsibilidade. O dialogo entre ambos revela o paradoxo da inteligencia contemporanea.

Ao longo da história, cada ferramenta criada pelo ser humano alterou a forma de viver, produzir e se relacionar. Da roda à internet, as invenções sempre foram mais do que instrumentos: foram marcos d

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

Aprender lógica de programação é aprender a pensar. Neste livro, Igor Gomes conduz o leitor do raciocínio lógico à construção de algoritmos reais, usando uma linguagem clara, exemplos práticos e exer

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

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

O livro "IA e Eu, Professor" é uma reflexão poética e filosófica sobre o papel da Inteligência Artificial na educação, inspirada por autores como Isaac Asimov e Rubem Alves. Marcio Augusto Nascimento

Quero conquistar liberdade financeira e não depender mais de bancos ou sistemas financeiros tradicionais. Sim, essa possibilidade existe e está a um clique de distância, com esse Ebook você descobrir

Como um cientista de férias dos postulados mais rigorosos, Allan Kardec Duailibe escreve brincando com as palavras e transcende os debates, ainda embrionários, sobre os limites da Inteligência Artifi

¿Todos los trabajos serán reemplazados por IA? ¿Quién es responsable por un auto que maneja "solo"? ¿Podrán "clonarnos" digitalmente tras la muerte? ¿Dónde está el límite y quiénes lo trazan?Análisis detallado sobre la evolucion de la inteligencia artificial desde sus inicios hasta las ultimas innovaciones, particularmente la IA generativa. Presenta casos reales de sesgos algoritmicos en procesos de seleccion laboral, seguridad predictiva, aplicaciones de citas, y decisiones judiciales. Aborda tambien temas como los vehiculos autonomos y los desafios eticos que plantean en accidentes mortales, la clonacion digital de personas, y la transformacion del mundo laboral por la automatizacion. Finalmente, propone un abordaje tecnorrealista sobre como enfrentar estos cambios. Ofrece herramientas para comprender como la IA ya afecta y seguira afectando nuestras vidas cotidianas.Aborda problematicas globales desde una perspectiva local y accesible, con un estilo ameno, riguroso y didactico. Combina analisis tecnico con ejemplos concretos y cotidianos.Indispensable para entender el futuro proximo: analiza la IA generativa con una perspectiva unica y clara.

Em um mundo cada vez mais orientado por dados, tecnologia e inovação, os profissionais de informática enfrentam o desafio de expandir sua atuação além do domínio técnico. "Introdução à Administração

Estamos vivendo uma evoluço acelerada da Inteligencia Artificial (IA) e a capacidade de adaptar-se e dominar novas tecnologias tornou-se mais relevante do que nunca. Com a IA moldando diversos aspectos da produço de conteudo, desde a criaço de codigo ate a elaboraço de documentos legais, a pessoa que se destaca e aquela que sabe utilizar estas ferramentas de forma eficaz. Esta habilidade a ser explorada para aprimorar a comunicaço entre humano e maquina e a Engenharia de Prompt.Neste livro, Ricardo Pupo Larguesa proporciona uma viso abrangente e pratica sobre como dominar a Engenharia de Prompt, uma competencia vital na era da IA. Ao mergulhar nas paginas deste guia, voce aprendera a integrar a Engenharia de Prompt a sua rotina de trabalho, a criar prompts eficientes e a adaptar modelos de linguagem como Gemini, ChatGPT e GitHub Copilot as suas necessidades para agilizar e otimizar o desenvolvimento de software. Com foco na resoluço de problemas complexos e no aumento da produtividade, este livro e uma ferramenta indispensavel para pessoas desenvolvedoras que buscam se posicionar na vanguarda da tecnologia, assegurando um lugar de destaque no futuro da programaço.

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).

El 30 de noviembre de 2022 ChatGPT se puso a disposición de todos los usuarios. Ese día, el público se dio cuenta de cuánto había avanzado la inteligencia artificial. Ya no se trata de promesas de ciencia ficcion, sino que es algo tangible que usamos a diario y que nos permite, en muchos casos, automatizar gran cantidad de las tareas que realizamos. El resultado es un cambio radical en la estructura productiva en la que se basa nuestra sociedad, un cambio muy veloz que genera ilusion, pero tambien vertigo y temor, porque a menudo desconocemos como funciona ni que utilidades tiene. A traves de 40 nociones clave de la inteligencia artificial, este libro trata de dar una vision general de la evolucion de la misma y explicar los principales fundamentos que subyacen en inteligencias como ChatGPT. Es importante mostrar lo que se esconde tras las bambalinas para desmitificar y contextualizar el funcionamiento de estas potentes herramientas y que podamos asi convivir con ellas de la manera mas sana posible. Asi, la proxima vez que usted haga una peticion a un chatbot inteligente, entendera por que contesta de la forma en que lo hace y podra decidir si quiere utilizarla.Rafael Caballero es ingeniero tecnico en Informatica y doctor en Ciencias Matematicas. Aplica su interes por big data a los grandes catalogos astronomicos, habiendo descubierto mediante el analisis de estos catalogos mas de 500 estrellas dobles nuevas. Enrique Martin es doctor en Ingenieria Informatica. Su investigacion principal gira en torno al uso de metodos formales para el analisis de programas en entornos distribuidos, incluyendo sistemas roboticos y contratos inteligentes en cadenas de bloques.