Showing titles in Computer Science

AN INSTANT NATIONAL BESTSELLER “Evenhanded and insightful.” —Publisher’s Weekly (starred review) “An accessible, often fascinating primer.... Essential, illuminating reading.” —Kirkus From the author of the New York Times bestseller The Digital Doctor comes an engaging, clear-eyed...

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

You've seen what AI can do. You've watched the demos, tested the tools, bookmarked the threads. But somewhere between inspiration and execution, the path blurred. Too many options. Too many gurus. Too many "ultimate guides" that left you with more questions than answers. It’s true—the window is open, but it won't stay open forever. This 2-in-1 collection gives you everything you need to go from stuck to profitable, whether you want to launch a lean AI service from scratch or scale a full agency that replaces your salary.

Derek Rydall, the author behind The Abundance Project, offers an empowering and actionable guide for workers, creators, leaders, and educators to unlock their full potential and not only survive but thrive in the AI era. As AI accelerates beyond human capabilities, the real threat isn’t that...

Faster than ever before, our world is moving from one extreme to another. How can we respond in a way that creates meaningful change for a better future? In this groundbreaking book, Dr. Catriona Wallace reveals a pathway for implementing a powerful shift in perspective and leadership. Rapid Transformation combines ancient wisdom with emerging technologies, offering practical tools to rise above crisis and create a safer, more sustainable tomorrow.

OpenClaw AI Assistant for Beginners shows you exactly how to build a private, self-hosted AI assistant powered by Anthropic's Claude. No programming required. No complex jargon. Just clear, step-by-step instructions that get you from zero to a working assistant in one afternoon. Written by solutions engineer Ryan Foster, who has spent nine years implementing AI systems in demanding enterprise environments, this practical guide strips away the hype and shows you what actually works.

The AI revolution is creating millionaires every month, and you do not need to be a tech expert to join them. While others debate whether AI will take their jobs, smart entrepreneurs are using these same tools to build profitable businesses from home. 55 Ways to Make Money with AI Today is your complete roadmap to turning artificial intelligence into reliable income streams.

AI Prompts for Everyday People is a practical, approachable guide designed to help listeners get better results from artificial intelligence in everyday situations. The book focuses on clarity, usability, and real-world application rather than technical explanations or coding. The content is structured around clear explanations and ready-to-use prompts that cover daily life, work, productivity, decision-making, creativity, money, and thinking more clearly. The tone throughout the book is calm, grounded, and confidence-building—never hype-driven or overly technical.

Join journalist Barry Werth as he pulls back the curtain on Vertex, a start-up pharmaceutical company, and witness firsthand the intense drama being played out in the pioneering and hugely profitable field of drug research. Founded by Joshua Boger, a dynamic Harvard- and Merck-trained scientific whiz kid, Vertex is dedicated to designing - atom by atom - both a new life-saving immunosuppressant drug and a drug to combat the virus that causes AIDS.

Vaccines: Mythology, Ideology, and Reality tells the story of this technology and the celebrated men who developed it with some success, but also with failures that are never mentioned in the celebratory literature on vaccines. Vaccine advocates often proclaim that they “follow the science,” but most vaccine development has been a matter of guesses, gambles, and wild experimentation. Its key figures have been biased by religious faith, wishful thinking, ideology, and a desire for recognition and money.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

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.

This audiobook is masterfully read by the author, Mo Gawdat. One of The Sunday Times' Business Books of the Year Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a...

The definitive exploration of one of the most daring and consequential theories of our time, completely revised and updated to reflect the rapid advances in artificial intelligence and virtual reality Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and...

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

The writing economy is exploding with opportunities that previous generations could never have imagined. Yet, most writers struggle to earn a sustainable income because they focus solely on the craft while ignoring the business aspects that separate successful professionals from those who remain perpetually broke.

Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.

Transform your organization using AI-driven solutions with Microsoft 365 Copilot Adoption: A Practical Guide for Business Leaders and Consultants. This book draws on real-world case studies and insights from Microsoft’s early adopters to provide a practical framework for successful AI integration. It emphasizes the importance of leadership alignment, cultural readiness, and continuous skill development, equipping listeners with the mindset and methods needed to foster innovation and efficiency in an AI-driven workplace.

Hallucinated citations that survived review. Confidentiality breaches that didn't surface until the bar complaint. Malpractice exposure building invisibly, one unexamined AI output at a time. These aren't hypothetical. They're already happening to lawyers who adopted AI without a framework. And the lawyers who made those mistakes weren't careless—they were experienced, diligent, and trying to keep up.

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? What will the world look like if we have billions of AIs that are as smart as humans, or even smarter?