Computer Science Technology

Nothing is harder to do these days than nothing. But in a world where our value is determined by our 24/7 data productivity...doing nothing may be our most important form of resistance. So argues artist and critic Jenny Odell in this field guide to doing nothing (at least as capitalism defines it). Our attention is the most precious - and overdrawn - resource we have. Once we can start paying a new kind of attention, we can undertake bolder forms of political action, reimagine humankind's role in the environment, and find more meaningful understandings of happiness and progress.

Unlock new levels of business success with AI Profit Multiplier, your guide to leveraging the power of AI apps and chatbots like ChatGPT and Claude. In this essential resource, you’ll discover how today’s most innovative digital entrepreneurs and business owners use AI to transform operations, increase productivity, and supercharge sales.

Des premiers algorithmes aux systèmes d'auto-apprentissage et aux réseaux neuronaux, « Le trading IA de A à Z » offre un aperçu fascinant des coulisses d'un monde où les machines sont depuis longtemps devenues des acteurs à part entière. Vous découvrirez comment les systèmes d'IA modernes prennent des décisions, comment les modèles prédictifs identifient les tendances avant qu'elles ne se manifestent et comment vous pouvez, en tant que débutant, accéder à ce monde hautement complexe, même sans avoir fait d'études en informatique.

Ready to turn ChatGPT into a 24/7 income machine? Whether you're starting from scratch or scaling your digital hustle, ChatGPT Income Empire gives you the exact blueprint to earn fast, automate smart, and grow a sustainable online business using AI.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

In Survival of the Richest, Rushkoff traces the origins of The Mindset in science and technology through its current expression in missions to Mars, island bunkers, AI futurism, and the metaverse. In a dozen urgent, electrifying chapters, he confronts tech utopianism, the datafication of all human interaction, and the exploitation of that data by corporations. Through fascinating characters, Rushkoff explains why those with the most power to change our current trajectory have no interest in doing so.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Do you have a big interest in computers and how they work? Are you interested in learning how to become a hacker? Would you like to learn all of this in a safe and secure manner that can make life easier? Computer Networking: All in One contains all the knowledge you need to achieve your goals in the computer world.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

We are entering a new technological age in which artificial intelligence and immersive media will transform society at all levels, mediating our lives by altering what we see, hear, and experience. If managed well, this could unleash a new age of abundance. If managed poorly, this technological revolution could easily go astray, compromising our privacy, autonomy, agency, and humanity. Two industry veterans provide a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and give guidance on how to aim for the best future we can.

In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge.

Paper is one of the simplest and most essential pieces of human technology. For the past two millennia, the ability to produce it in ever more efficient ways has supported the proliferation of literacy, media, religion, education, commerce, and art; it has formed the foundation of civilizations, promoting revolutions and restoring stability.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

Ready to trade like it's the future? Feeling overwhelmed by stock trading, algorithms, or all the AI hype? This beginner-friendly guide shows you exactly how to use ChatGPT, AI tools, and smart automation to start trading like a pro—with zero fluff and actionable steps that work. AI isn’t coming. It’s already here—learn how to use it to your advantage! From building custom stock screeners with ChatGPT to using bots and backtesting tools, this book gives you the blueprint to trade smarter, manage risk, and actually understand what you’re doing.

Merchants of Doubt has been praised—and attacked—around the world, for reasons easy to understand. This book tells, with “brutal clarity” (Huffington Post), the disquieting story of how a loose-knit group of high-level scientists and scientific advisers, with deep connections in politics and industry, ran effective campaigns to mislead the public and deny well-established scientific knowledge over four decades.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

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.