eBooks de Informática práctica, página 31 de 137

"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

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

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.

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

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.

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

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.

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr

– DOUTRINA ALTAMENTE SISTEMATIZADA– JURISPRUDÊNCIA RECENTE– CONTEÚDO COMPLETO E FOCADO NO EDITAL DA OAB– TEMAS ESCOLHIDOS COM BASE NA ESTATÍSTICA DO EXAMEA experiência diz que aquele que quer ser apr