Showing titles in Machine Theory & Artificial Intelligence

Navigating the complexities of the stock market can be daunting. This book demystifies the process, offering clear, concise, and practical insights into using AI technologies to identify trends, predict market movements, and manage investment risks effectively. Whether you're planning for retirement, looking to grow your personal wealth, or simply curious about stock market investing, this guide is your first step towards financial empowerment.

In a world where technology evolves at an astonishing pace, it's no surprise that the realm of finance and investing has also undergone a significant transformation. Traditional methods of trading and investing have given way to cutting-edge technologies, with one of the most notable advancements being the integration of Artificial Intelligence (AI) algorithms into the financial markets. Welcome to How to Trade AI Algorithms: A Beginner's Guide to Automated Investing.

In The Intelligence Explosion, James Barrat, a leading technology expert, equips listeners with the tools to navigate the complex and often chaotic landscape of modern AI. This compelling book dives deep into the challenges posed by generative AI, exposing how tech companies have built systems that are both error-prone and impossible to fully interpret. Through insightful interviews with AI pioneers, Barrat highlights the unstable trajectory of AI development, showcasing its potential for modest benefits and catastrophic consequences.

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.

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.

The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.

AI is everywhere. It powers the autocorrect function of your iPhone, helps Google Translate understand the complexity of language, and interprets your behaviour to decide which of your friends' Facebook posts you most want to see. In the coming years, it'll perform medical diagnoses and drive your car - and maybe even help our authors write the first lines of their novels. But how does it actually work? Scientist and engineer Janelle Shane is the go-to contributor about computer science for the New York Times, Slate and the New Yorker.

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.

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.

Welcome to the exciting world of AI-driven entrepreneurship, where innovation knows no bounds, and financial constraints need not deter your dreams. In this chapter, we embark on a journey that explores how you can harness the power of AI and ChatGPT to create a thriving business with minimal financial investment.

Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Whether you are a student with a startup idea, a budding entrepreneur, a seasoned business owner looking to take advantage of artificial intelligence in your business, or just an individual looking to achieve financial freedom, the AI Entrepreneur's Handbook is your ticket to making it big in this new world of ChatGPT and AI.

Artificial intelligence is no longer confined to science fiction—it’s part of our everyday lives. From smartphone assistants and Netflix recommendations to medical diagnostics and fraud detection, AI is already transforming how we live, work, and connect. But what exactly is AI? How does it work? Can it think like us, or even replace us? And what does it mean for our future?

In our rapidly evolving digital age, where reality often intertwines with the virtual, a question emerges: could our very existence be a part of a grander digital construct? "Simulation Theory for Beginners" dives headfirst into this profound question, exploring the enigmatic simulation hypothesis in depth.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best-create physical products-with what digitals do best-use algorithms and AI to parse expansive, interconnected datasets-to make strategic connections that would otherwise be impossible.

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service within the Microsoft Azure cloud computing platform.

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.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.