Showing titles in Computer Science

This comprehensive guide is designed for AI enthusiasts, tech hobbyists, and professionals alike who want to delve deeper into the world of AI and understand the groundbreaking RGB Prompt Engineering Model. Each chapter carefully presents a structured pathway from AI's historical origins to the most advanced applications in today's technology landscape.

There is much that we can neither predict nor control—but we can significantly improve our odds of favorable outcomes in both work and life. By developing an intuitive understanding of risk, chance, and uncertainty, we can harness the power of the randomness all around us to positively impact our lives.

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.

Step into the world of computer science with Byron-Scott Jones’ latest masterpiece, Computerscience. This comprehensive guide is your passport to understanding the intricate and fascinating domain that powers our modern world. Whether you're a complete beginner or looking to solidify your foundational knowledge, this book promises to illuminate the path to mastering computer science.

Throughout the 1960s and 1970s, a diverse group of teachers and students working together on academic computing systems conducted many of the activities we now recognize as personal and social computing. Joy Rankin draws on detailed records to explore how users exchanged messages, programmed music and poems, fostered communities, and developed computer games like The Oregon Trail. These unsung pioneers helped shape our digital world, just as much as the inventors, garage hobbyists, and eccentric billionaires of Palo Alto.

Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.

The author of The Internet of Things presents his latest book.

The future is less fearsome when you know what you’re facing. Shape AI's future by actively participating in this technology—even if you’ve never considered yourself a techie.

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Komlos and Benjamin's approach harnesses disparate views from inside and outside of an organisation, including front-line employees, former competitors, theorists and disruptors around a big, messy problem to form a high-functioning team of people, a 'mega-brain', that can see every side of a problem and identify the best solution(s) for it. Complex issues are solved in a matter of days, not months, not years, a time frame supported by the authors' research and practice over three decades.

This audiobook is a combo of three books that gives you all the information you need about the brain (and a woman's brain, in particular), neural networks, artificial intelligence, psychopaths, split personality, speed-reading strategies, and neuroplasticity among others.

The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action.

This gripping narrative explores today's scientific pursuit of immortality, with exclusive visits inside Silicon Valley labs and interviews with the visionaries who believe we will soon crack into the aging process and cure death. We live in an age when billionaires are betting their fortunes on laboratory advances to prove aging unnecessary and death a disease that can be cured.

Composed from exhaustive research and hundreds of personal interviews, the Stay Awhile and Listen series divulges the fated meeting that brought the two Blizzards together, the clashes that tore them apart, and their transformation from grassroots democracy to corporate empire. At the center of it all - Diablo, a hack-and-slash adventure through the darkest recesses of Hell that changed online gaming forever.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

Unlock the full potential of AI in education and transform your classroom into a personalized, efficient learning environment! Our book offers proven strategies, ethical considerations, and cost-effective tools to successfully integrate AI into your educational scenario. Gain comprehensive access to an ever-evolving resource page that alone exceeds the cost of the book.

As the metaverse develops, conversations around the topic have been cluttered and opaque. What is the metaverse? Why is the metaverse important? And what will the metaverse look like? The Metaverse: A Professional Guide sorts the sense from the nonsense, giving experts insights and guidance on how to navigate the burgeoning world of immersive technologies. By the end, you will have a firm grasp of the metaverse and all the contingent technologies that link to its foundations.

The AI Success Route embarks on a compelling journey through the cutting-edge world of artificial intelligence (AI), and it explores the keys to unlocking this technology’s full potential for your personal success. This book is your ultimate guide to navigating the complex landscape of AI, demystifying the technology that is all the rage today, and harnessing it to drive success in your personal and professional life.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....