Showing titles in Computer Science

In the age of Artificial Intelligence, how you ask the question is just as important as the answer you receive. Understanding Prompt Engineering: 10 Tips for Better AI Results is your essential guide to unlocking the full potential of AI models like ChatGPT, Claude, and other large language systems. Whether you're a writer, analyst, educator, marketer, coder—or simply someone curious about the future—this book will show you how to communicate with AI effectively and get results that are precise, useful, and compelling.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

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.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

AI makes headlines, but many organizations face stalled projects, fragile infrastructure, and costly deployments. The AI Engineering Bible fills this gap. For engineers, leads, architects, and product owners, it offers a systematic approach to production-ready AI—grounded in best practices, scalable infrastructure, and real-world use. Covering the full AI lifecycle—from problem definition and data acquisition to deployment, optimization, and maintenance—it provides the depth needed to lead AI at scale.

Learn Computer Science On the Go is an audiobook meticulously crafted for anyone interested in the vast world of computer science. This comprehensive guide is tailored to cater to a wide audience, from beginners to those looking to refresh their knowledge. The audiobook begins by laying a solid foundation, introducing listeners to fundamental concepts and terminologies in an easily digestible format. It then progresses into the intricacies of programming languages, offering insights into their varied applications and nuances.

Despite AI’s power to innovate daily life and revolutionize organizations, public trust in AI is low. For companies to take full advantage of AI, it is vital that they adopt and communicate a responsible approach in order to build consumer, employee and investor confidence. Governing the Machine provides business leaders with a practical and flexible framework for building comprehensive and robust AI governance. It empowers organizations to reap the benefits, while ensuring that AI is trustworthy, sustainable and a source of opportunity and profit rather than liability and harm.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

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.

Ideal for beginners, intermediates, freelancers, and small-business owners who value results now—not someday. No fluff. No recycled blog posts. No get-rich-quick nonsense—just a toolkit you’ll actually use.

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.

This book changes that. Real-World AI for Beginners (2 in 1) is your clear, practical roadmap to using ChatGPT, automation, and creative tools right now without coding, without confusion, and without wasting months trying to figure it out.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

This book is designed for the modern professional who recognizes that AI isn't here to replace human expertise, but to amplify it. Whether you're a CEO looking to streamline decision-making, a consultant seeking to enhance client deliverables, or an entrepreneur building the next big thing, Claude can serve as your intelligent partner in achieving professional success.

Artificial intelligence is, as the name suggests, artificial and fundamentally different to human intelligence. Yet often the goal of AI is to fake human intelligence. This deceit has been there from the very beginning. We’ve been trying to fake it since Alan Turing answered the question ‘Can machines think?’ by proposing that machines pretend to be humans. Now we are starting to build AI that truly deceives us. Powerful AIs such as ChatGPT can convince us they are intelligent and blur the distinction between what is real and what is simulated.

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

This book now comes with a FREE VIDEO COURSE: ChatGPT for Beginners! Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you! Amazon bestselling author & AI Consultant David M. Patel is going to show you everything you need to know become an expert user of artificial intelligence & generative AI.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

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.