Computer Science Technology

Découvrez "Libérer la Puissance Commerciale de l’IA avec une Efficacité de Niveau Supérieur", le guide ultime pour transformer les entreprises à l’ère du numérique grâce à l'intelligence artificielle (IA). Ce livre captivant dévoile les mystères de l'IA, explorant ses multiples facettes, des simples applications quotidiennes aux avancées technologiques révolutionnaires. Abordez les diverses utilisations de l’IA dans divers secteurs, bien au-delà de la technologie.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Recoding History: The Audacious Women Who Shaped Our Digital World is an immersive look into the lives of some of computer history's most ingenious and audacious women. Pulling from the Computer History Museum’s archives and hosted by Reshma Saujani, the founder of Girls Who Code, listeners will learn and laugh along with these great minds as they recount their stories in their own words.

The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

When Ashley Shew became a self-described "hard-of-hearing chemobrained amputee with Crohn's disease and tinnitus," there was no returning to "normal." Suddenly well-meaning people called her an "inspiration" while grocery shopping or viewed her as a needy recipient of technological wizardry. Most disabled people don't want what the abled assume they want—nor are they generally asked. In vibrant prose, Shew shows how we can create better narratives and more accessible futures by drawing from the insights of the cross-disability community.

En Nexus, Harari contempla a la humanidad desde la amplia perspectiva de la historia para analizar cómo las redes de información han hecho y deshecho nuestro mundo. Durante los últimos 100.000 años, los sapiens hemos acumulado un enorme poder. Pero, a pesar de todos los descubrimientos, inventos y conquistas, ahora nos enfrentamos a una crisis existencial: el mundo está al borde del colapso ecológico, abunda la desinformación y nos precipitamos hacia la era de la I.A. Con todo el camino andando, ¿por qué somos una especie autodestructiva?

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

How does someone become a YouTube star? What do YouTube stars do? Learn about how YouTube stars make videos, talk to fans, and more!

You’re creative, smart, and fast—so why does AI still give you "meh" results? This audiobook gives you a clear, repeatable system to prompt with confidence and get better output every time—without wasting hours rewriting and re-prompting.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

What if you could harness the power of AI to dominate digital and social media marketing—and turn it into real money and passive income? Welcome to AI-Powered Digital & Social Media Marketing 2026. This isn’t just another guide—it’s your blueprint to mastering the future of marketing. Inside, you’ll discover how to combine artificial intelligence, SEO, and the world’s biggest platforms to grow your brand, reach millions, and make money online like never before.

Benefits of listening to this book: Discover how to use AI ChatGPT to create engaging content, market products, and increase productivity.

AI is already driving billions of dollars in online business growth. While most people waste time on weak prompts and gimmicks, a small group is quietly using AI to build thriving online businesses. Which side do you want to be on? If you’ve ever wished for a guide that replaces guesswork with real instructions, this is it. You’ll discover prompt systems you can copy today to create products, automate workflows, and build income sources that last. Each chapter focuses on practical action, not theory, so you can see results from the very first step.

With clear and trustworthy information, Networking All-in-One for Dummies is the perfect beginner's guide AND the perfect professional reference book. Small networks, large networks, business networks, cloud networks―it's all covered. Learn how to set up a network and keep it functioning, using Windows Server, Linux, and related technologies.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Want to know how AT&T's Bell Labs developed semiconductor technology - and how its leading scientists almost came to blows in the process? Want to understand how radio and television work - and why RCA drove their inventors to financial ruin and early graves? Conquering the Electron offers these stories and more, presenting each revolutionary technological advance right alongside blow-by-blow personal battles that all too often took place.

FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J. R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks.

"The most important book on AI this year." --The Guardian "Mr. Russell's exciting book goes deep, while sparkling with dry witticisms." --The Wall Street Journal "The most important book I have read in quite some time" (Daniel Kahneman); "A must-read" (Max Tegmark); "The book we've all been...