Showing titles in Machine Theory & Artificial Intelligence

Do you need help navigating the rapidly evolving world of AI? This guide is designed to help you unlock the game-changing potential of artificial intelligence, no matter your starting point, with hands-on and interactive learning techniques. You're not alone if you're curious about AI but feel overwhelmed by the flood of information and lost in technical jargon, wondering how AI could impact your life or career. Many beginners face the same challenges. In fact, recent surveys show that over 60% of those interested in AI feel intimidated by its complexity.

No longer an uncertain technology of the distant future, artificial intelligence is starting to shape every aspect of our daily lives, from how we think to who we love. In this urgent polemic, leading barrister Susie Alegre explores the ways in which artificial intelligence threatens our fundamental human rights—including the rights to life, liberty and fair trial; the right to private and family life; and the right to free expression—and how we protect those rights.

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

The Singularity Paradox: Bridging the Gap Between Humanity and AI is a comprehensive exploration of how the fusion of biology, neuroscience, and artificial intelligence can lead to the creation of Artificial Human Intelligence (AHI) as a conscious response to the unconscious development of superintelligence.

In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Brought to you by Penguin. Is more data always better? Do algorithms really make better decisions than humans? Can we stay in control in an increasingly automated world? Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the...

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.

GenAI on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You'll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Imagine a world where every student thrives, classrooms are vibrant hubs of innovation, and educators wield the power of artificial intelligence to revolutionize teaching and learning. Fearlessly Use AI in the Classroom is your ultimate guide to embracing this bold new frontier, crafted for educators, administrators, school board members, and parents alike. This audiobook takes you on a journey to demystify AI and unlock its transformative potential.

Welcome to the exciting world of AI-powered trading bots for executing options trades. In this subchapter, we will explore the fundamentals of AI and option trading, providing you with a solid foundation to begin your journey into the world of trading stocks and options. Whether you are a novice trader looking to learn the basics or an experienced investor seeking to leverage the power of AI technology in your trading strategies, this subchapter is designed to help you understand the key concepts and principles that drive success in the world of option trading.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Could history repeat itself, with one giant entity taking control of American information? Most consider the Internet Age to be a moment of unprecedented freedom in communications and culture. But as Tim Wu shows, each major new medium, from telephone to cable, arrived on a similar wave of idealistic optimism only to become, eventually, the object of industrial consolidation profoundly affecting how Americans communicate.

Over the past 10 years, urban planners, technology companies, and governments have promoted smart cities with a somewhat utopian vision of urban life made knowable and manageable through data collection and analysis. Emerging smart cities have become both crucibles and showrooms for the practical application of the Internet of Things, cloud computing, and the integration of big data into everyday life. Are smart cities optimized, sustainable, digitally networked solutions to urban problems? Or are they neoliberal, corporate-controlled, undemocratic non-places?

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.

What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when?