Ebooks de informática, página 11 de 220

Un navegador es el software necesario para navegar por Internet. Entre todos los navegadores existentes, existe uno que, por numerosas razones, se ha convertido en el más utilizado: se trata de Internet Explorer. Las nuevas funciones y caracteristicas de Internet Explorer 8 permiten una exploracion mas rapida, sencillas, segura y confiable. Con este libro: -Aprendera a utilizar los aceleradores para buscar en un mapa, traducir palabras, enviar por correo electronico, etc. -Conocera el modo de suscribirse a Web Slices que le mantendran al tanto de las novedades que se producen en determinados sitios Web. -Practicara con las nuevas funciones de sugerencias de busqueda y busqueda visual y con las opciones de navegacion mejoradas. -Descubrira el modo de explorar la Red en privado con la exploracion InPrivate y de protegerse eficazmente con el filtro SmartScreen. Todos los titulos de la coleccion estan publicados en color y con un formato de 19,5x24 cm. lo cual permite una lectura mas agradable de los temas desarrollados.

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.

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.

– 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

Excel Skills for BeginnersLearn Essential Functions, Formulas, and Data Analysis (Master Excel for Work, Business, and Productivity)Excel is more than just a spreadsheet programits a powerful tool that can transform how you work with data, streamline your daily tasks, and boost your productivity. Whether youre a complete beginner or someone looking to sharpen your skills, this book provides the essential knowledge you need to master Excel with confidence.Inside This Book, Youll Discover:Introduction to Excel and Its InterfaceMastering Formulas and FunctionsData Formatting and Conditional FormattingUsing Tables for Data ManagementIntroduction to Pivot Tables and Pivot ChartsAutomating Tasks with Power QueryData Analysis with Excel (Lookup Functions, What-If Analysis, etc.)With easy-to-follow explanations, step-by-step tutorials, and practical exercises, this book ensures that youll gain the hands-on experience needed to apply Excel skills in real-world scenarios. From organizing data efficiently to performing advanced calculations and automating repetitive tasks, youll unlock Excels full potential to save time and increase accuracy.Whether youre using Excel for business, finance, education, or personal productivity, this guide is your key to becoming proficient in one of the most valuable software tools in the modern workplace.Scroll Up and Grab Your Copy Today!

AI for Beginners: A Simple Guide to Understanding and Using ChatGPT, DeepSeek, Bard, and Other Top AI AppsUnlock the power of AI no tech degree required!Have you ever wondered what AI really is? This book breaks it down, explaining the core ideas in plain English, no tech degree required. Then, we dive into the coolest AI apps, showing you exactly what they can do and how you can use them.AI is changing everything, and this book makes it easy to understand how.Inside, youll discover:What AI really is (and isnt): Clear explanations of key concepts, demystifying the jargon.The top AI apps: Explore ChatGPT, DeepSeek, Bard, and other cutting-edge tools.Practical uses: Learn how AI can help you write, code, research, and more.The future of AI: Understand the trends shaping our world and how to navigate them.Raising kids in the age of AI: Guidance for parents on fostering essential skills and a balanced perspective.This book is your essential guide to understanding and using AI, empowering you to thrive in this exciting new era.Get your copy today and unlock the potential of AI!By Luisa LorekInspiration Hub

The teenage audience born in the 21st century, some now entering adulthood, arrived into the world at a time when the internet was already a reality. Part of this generation, urban and connected through mobile devices, grew up in an environment increasingly mediated by blogs, videos, games, social networking sites, fanfics, series, songs, books, radio, advertising, arts, comics, television, newspapers, films... in short, the different "texts" that continue contributing to our "apprehension" of everyday life. In this second volume of the Movements series, the professor and researcher Sergio Branco focuses on the transformations brought about by digital connection networks and the internet. Besides the effect of the multiple voices entering the debate, Branco addresses "the supremacy of video and audio", "fake news, post-truth and alternative facts", and the relationship between "personal data, control and privacy" In the authors words: "The telephone took 75 years to reach 50 million users. Cars needed 62 years to reach the same mark. And then 38 years for radio, fourteen for television, three and a half years for Facebook and only 35 days for the Angry Birds game. Speed is the hallmark of our time and that makes all the difference. When it takes 75 years for 50 million people to have a phone, all uncertainties are gradually understood, debated, systematized and resolved along the way. But when you reach the same number of people in months or days, there is a huge chance that various conflicts will arise, with some being closely followed by others before they are resolved". Published in Portuguese and English exclusively in e-book format, the Movements series is edited by the writer Tiago Ferro.

A informação é uma importante base para a tomada de decisão, tanto gerencial como operacional, e otimizá-la trará inúmeras vantagens ao ambiente empresarial. Este livro trata da Disseminação Seletiva

Se você tem interesse em tecnologia da informação, marketing ou serviços de atendimento ao cliente, encontrará neste livro um guia sobre como criar experiências e lembranças encantadoras para os clie

Cheats Unlimited are the specialists when it comes to video game cheats, tips and walkthrough guides. Fronted by the glamorous and gorgeous CheatMistress, Cheats Unlimited has helped over seven million gamers worldwide over the last 12 years. Through phone lines, fax machines, the Web and WAP sites and now eBooks, we have been there for gamers when theyve needed us the most.With EZ Cheats: Video Game Cheats, Tips and Secrets, we aim to help you unlock the games full potential with a series of tips, cheat codes, secrets, unlocks and Achievement/Trophy guides, covering Xbox 360, PlayStation 3, Nintendo Wii, DS, PSP, PS2, Xbox and PSOne. Whether you want to find out how to spawn specific vehicles, learn how to open up harder difficulty settings, or discover sneaky ways to earn additional ingame currency, we have the answers. EZ Cheats are compiled by expert gamers who are here to help you get the most out of your games.EZ Cheats: Video Game Cheats, Tips and Secrets 2nd Edition covers all of the current consoles: Xbox 360, PlayStation 3, Nintendo Wii, Nintendo DS and PSP. With all the top games covered, including Call of Duty: Black Ops Red Dead Redemption, Assassins Creed Brotherhood, Halo: Reach, Grand Theft Auto IV, Super Street Fighter IV, Tomb Raider: Underworld, Fallout 3, Mass Effect 2, Halo 3, The Legend of Zelda: Twilight Princess and Mario Kart DS, amongst hundreds more top titles. Consoles covered: Xbox 360, PlayStation 3, Nintendo Wii, Nintendo DS, PSP, PS2, Xbox, and PSone

O livro trata da arquitetura de CLOUD COMPUTING. São abordados aspectos e conceitos importantes que contribuem para a formação de profissionais na área de Tecnologia da Informação (TI) com foco nesta

VIVEMOS NA SOCIEDADE DO SILÍCIO, onde as tecnologias computacionais e a inteligência artificial estão remodelando nosso mundo. No entanto, essa revolução vem com desafios significativos para a privac

The Intrnt is grwng a place whr many l wrk. More nd mr businesses are crowding th mrktl n n ttmt t fnd new utmr and reach nw brdr. Dt th hgh dnt of online enterprises, the Intrnt ntnung t flurh du t the lrg munt of users nd t glbl reach. If you h t mk m profits nln, here are some useful tips: On f th best ways to earn mn n th Intrnt b trtng ur vr wn online bun. With nl a mll budgt and a grt d, u can l trt up your nln store. Yu wll, of ur, nd t t up a website nd thn u will b ll t t go! A bg rn wh many people r hng to run n nln business du to the low mntnn costs nd f usage. Unlk runnng a brick-and-mortar utlt, you d nt hv t fr rntl r utility charges. All you nd is t for is your nnul website f. Yu l dnt hv to wrr but wkng u rl n th mrnng t set u your tr r having t hr nd fr ml. An online bun gv you th frdm f working whnvr nd whrvr u lk. It possible t make a lt f mn even f u r n holiday n th thr side f th wrld. If business nt ur thing, u n ndr dng mthng that u lk. First, u need to fgur ut wht u r utd to. Are u gd t rvwng cars? Or r u a bg fan of mv r mu? If you thnk u r good nugh, u n consider starting a blg or a wbt about what u r tlntd t. If u lv mv, you could review movies n ur blg. Or f you lk traveling, u mght trt a trvl blog. Once u are bl t generate trff t ur wbt r blg, rltd mn m bm ntrtd n dvrtng wth you. For example, f u run a trvllng blog, tur agents and rln might want to t d n ur site. Ernng mn on the Intrnt can l b done b working fr virtual companies and employers.

Questo libro vuole essere una guida di livello intermedio ad alcuni strumenti e abilita comuni per i test di penetrazione, in particolare quelli dellhacking wireless e del mantenimento dellanonimato. Il libro si concentra in particolar modo sullesecuzione pratica e fornisce alcune procedure dettagliate per linstallazione di piattaforme e strumenti essenziali, nonche la teoria dietro alcuni attacchi base. Ottieni la capacita di fare hacking etico e test di penetrazione tramite questo libro sullhacking!Un esperto informatico ti dara le risposte a ogni singola domanda che emergera durante la lettura di questo libro, tra cui: -Come installare Kali Linux -Come usare VirtualBox-Quali sono le nozioni base di Linux-Come rimanere anonimi con Tor-Come usare Proxychains, le Reti Virtuali Private (VPN), Macchanger e Nmap-Come crackare una rete Wi-Fi con Aircrack-Come crackare le password di LinuxQuali sono i requisiti?-Connessione Internet veloce e affidabile-Scheda di rete wireless-Distribuzione Kali Linux-Abilita informatiche di baseCosa otterrai da questo libro sullhacking?-Risposte a ogni singola domanda da parte di un professionista ed esperto informatico!-Nozioni di base di Rete-Strumenti Kali Linux-La conoscenza di alcuni comandi Linux-Consigli per rimanere anonimo durante le attivita di hacking e di penetration testing-Le conoscenze per proteggere la tua rete Wi-Fi da tutti gli attacchi-Laccesso a ogni account client nella rete Wi-Fi-Un tutorial completo che spiega come creare un ambiente virtuale per lhacking, attaccare le reti e violare le password-Istruzioni dettagliate per isolare VirtualBox e creare il tuo ambiente virtuale su Windows, Mac e Linux.PUBLISHER: TEKTIME