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This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this audiobook will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this audiobook or to pass the AI-900 exam. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

AI has already made its way in and it’s not just knocking anymore. You’re about to find out how to use artificial intelligence to give yourself a huge and almost unfair advantage. It’s not about learning AI; it’s about getting good at the prompts that make it do what you want. This is your AI guide for beginners, the non-negotiable first step in a 21-day mission to make AI money and AI income your new reality. This is Book I. Forget information overload; this is a 4-day guided detonation of your old assumptions and limitations.

AN INSTANT NEW YORK TIMES BESTSELLER From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI Something new entered our world in November 2022 — the first general...

New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that...

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

Whether you're an aspiring entrepreneur, a business owner seeking to boost sales, or someone looking for new ways to make extra income, ChatGPT Money Machine is your roadmap to success. Equip yourself with the knowledge and skills to navigate the exciting world of artificial intelligence and transform your online ventures into sustainable income sources.

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.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

クリエイティブ分野で、果たして人間はChatGPTに勝てるのか。本書は、いち個人作家である私が、ChatGPTへ贈る”挑戦状”です。

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

In this compelling and balanced book, Mark Coeckelbergh reveals the key risks posed by AI for democracy. He argues that AI, as currently used and developed, undermines fundamental principles on which liberal democracies are founded, such as freedom and equality. How can we make democracy more resilient in the face of AI? And, more positively, what can AI do for democracy?

AI tools are everywhere. Clear guidance on what to build with them is not. Most people don’t fail with AI because they lack access, skill, or motivation. They fail because they never decide what deserves their focus. They keep learning and tweaking—while real progress stays just out of reach. If you’ve explored platforms, followed tutorials, and still asked yourself how you could monetize AI—it isn’t confusion. It’s a missing decision framework.

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? What will the world look like if we have billions of AIs that are as smart as humans, or even smarter?

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.