Machine Intelligence

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

Are you captivated by the rapid advancements in AI but feel overwhelmed by the sheer variety of options? Do you find the terminology daunting? Or are you simply unsure where to begin with this transformative technology? This book is your gateway to not just understanding but mastering the exciting world of Generative AI. I will introduce to you a jargon-free, hands-on guide to Generative AI. AI for Beginners Playbook simplifies complex theories, equips you with practical skills, and sparks your creativity.

Dive into the future of passive income with "ChatGPT Side Hustles" by Alec Rowe. This comprehensive guide unveils over 85 innovative side hustle ideas leveraging the power of AI to boost your income, create new cash flows, and secure a competitive edge.

Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate.

The window for wealth is wide open in the cutting edge world of artificial intelligence. The AI market is already valued at nearly $100 billion, and by 2030, it could add $15.7 trillion to the world economy. Safe to say there’s plenty of profit to go around.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners. Python is a great language that is commonly used with machine learning.

Ever wish you had a personal money-making machine? One that worked tirelessly while you sip coffee or stroll on the beach? Well, get ready to turn that dream into reality! In "Building a Money Machine with ChatGPT," book we spilled all the secrets – the proven strategies, step-by-step instructions, and insider tips – that will have you raking in the dough in no time. Whether you're a tech whiz or a complete beginner, this book is your ticket to financial freedom. It's time to dump the 9-to-5 grind and build a life where money works for you, not the other way around.

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.

In IRREPLACEABLE, you will discover techniques to boost your career using AI—without losing your job to automation; secrets to unlocking your uniquely human abilities—ones AI can never replicate; counterintuitive methods to raise Future-ready children; strategies to avoid falling into the "AI Obesity" trap; and blueprints for leveraging AI to turn your company into an unstoppable force of innovation.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

From the latest applications of AI to blockchain-enabled business models to 5G networks, the most important technological innovations of the past year are reshaping the present and future of business. What should you and your company be doing now to take advantage of the new opportunities they are creating? The Year in Tech, 2021 will help you understand today's most essential thinking on these topics, what the latest tech innovations mean for your organization, and how you can use them to compete and win in the new landscape of business.

Artificial intelligence is no longer the stuff of science fiction—it's a tangible, transformative force reshaping industries and redefining business success. Yet for many business leaders, the journey from curiosity to AI implementation can be daunting. Where do you start? How do you navigate the technical jargon and hype? And, most importantly, how can you leverage AI to boost profits, streamline operations and gain a competitive edge?

MoneyGPT shows that the danger is not that AI will malfunction, but that it will function exactly as intended. The peril is not in the algorithms, but in ourselves. And it’s up to us to intervene with old-fashioned human logic and common sense before it’s too late.

This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives—and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes listeners inside the fierce competition to develop and implement this game-changing technology and dominate the future.

Artificial Intelligence is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans.

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.

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.