Machine Intelligence

In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains the realities of AI from a human-oriented perspective that's easy to comprehend. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.

As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us.

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.

Artificial Intelligence –( the Path towards Logical and Rational Agents) This book is an introduction to the fundamentals of Artificial Intelligence its aim is to introduce A.I. through its history, its contemporary role in society and the economy. We then lift the hood to see how A.I. works and how we can create our very own rational A.I. agents The topics of interest are as follows: • A.I. today in 2017 • A.I role in society • A.I. role in employment • A.I. role in the economy • Algorithms and types of A.I • Modern Approaches to A.I • What A.I. can do • What A.I. can't ...

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.

No hype or jargon—become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI). We start by exploring fundamental topics, such as how data relates to your pain points, where to find the data, the skillsets involved in data work, and the two main data methodologies. Next, we cover high-level matters regarding data, expanding the scope of data initiatives and elaborating on the bigger picture of data work. Learn how to enrich your data assets, what professionals and technologies you’ll need to ...

Teaching in the Age of Artificial Intelligence: From Robots to Rocket Science. This book explores how artificial intelligence is changing education — from traditional classrooms to smart, personalized learning environments. This insightful book bridges the gap between emerging technologies and modern education, providing teachers, students, and policymakers with a roadmap for thriving in a world driven by artificial intelligence.

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. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

What robot and AI systems are being built and imagined right now? What do they say about us, their creators? Will they usher in a fantastic new future, or destroy us? What do some of our greatest thinkers, from physicist Brian Greene and futurist Kevin Kelly to inventor Dean Kamen, geneticist George Church, and filmmaker Tiffany Shlain, anticipate about our human-robot future? For even as robots and AI intrigue us and make us anxious about the future, our fascination with robots has always been about more than the potential of the technology.

Unleash the Power of Machine Learning with "ML Demystified: Unlocking the Power of Machine Learning without the Jargon." This book is your key to demystifying Machine Learning concepts, whether you're a non-technician or a seasoned professional. With clear explanations and real-world examples, this guide empowers you to grasp the transformative potential of Machine Learning without getting lost in technical complexities. Key Features: Engaging storytelling ensures easy comprehension without compromising depth. Clear explanations and relatable examples make Machine Learning accessible to ...

En esta completa guía, adquirirás un profundo conocimiento de la ingeniería de prompts y de cómo aprovechar ChatGPT, el modelo de lenguaje de vanguardia desarrollado por OpenAI, para liberar todo tu potencial. Aprenderás a utilizar ChatGPT para potenciar tu creatividad, resolver problemas complejos y acelerar tu flujo de trabajo.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

A New York Times Magazine writer explores the Next Big Thing in tech - the impending revolution in voice recognition - and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but soon we may talk as fluently with our phones, appliances, cars, etc. as we do with any human.

Unlock the power of ChatGPT and DALL·E to create passive income and live on your terms. Whether you're looking to earn extra money, achieve financial independence, or explore new opportunities, this guide shows you how to succeed, even with no prior AI experience.

Are you leading your team—or is AI leading you? Generative AI for Leaders is the essential playbook for business transformation in the age of Artificial Intelligence. Designed for executives, project leads, and innovation champions, this audiobook delivers a clear, strategic roadmap to navigate the complexity, uncertainty, and potential of AI deployment—without drowning in technical jargon. With billions spent and 70% of initiatives failing to scale, the question isn’t whether to implement AI—but how to do it right.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

A primer on Machine Learning tailored for individuals interested in exploring the field before advancing to more complex literature by the author, including 'Data Science' and other works. ('Data Science' achieved the #1 spot in Mathematical Analysis on Amazon).

AI has seamlessly integrated into various aspects of society, from virtual assistants on our smartphones to personalized recommendations on streaming platforms. It has revolutionized industries, improved efficiency, and opened new avenues for innovation. In this essential quick reference guide for beginners, embark on a journey to explore Artificial Intelligence's vast possibilities and potential. Learn about AI programs, AI terminology, Programming Basics, and Building AI solutions. Get acquainted with NLP, ML, Computer Vision, General AI, DL, RL, Chatbot, Scikit-learn, TensorFlow, Pytorch...

Surviving AI is a concise, easy guide to what's coming, taking you through technological unemployment (the economic singularity) and the possible creation of a superintelligence (the technological singularity).

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.