Showing titles in Computer Science

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

Most entrepreneurs are running on fumes—trapped in a loop of doing, fixing, and catching up. You can’t step away without something slipping. Deep down, you know the problem isn’t effort—it’s control. The "hustle" is a lie. The path to a million-dollar business isn't working harder; it's shifting from Operator to Architect — building systems that do the draining, repetitive work for you.

El Emprendedor Automático es una guía práctica, directa y sin tecnicismos para transformar tu negocio en un sistema inteligente que trabaja por ti, incluso mientras duermes. No necesitas ser experto en tecnología ni tener un gran equipo. Solo necesitas saber qué automatizar, con qué herramientas y en qué orden hacerlo.

Discover the transformative power of artificial intelligence with AI Factories: Building the Future of Intelligence Industry, a visionary guide by Dr. Samuel Xiangming Li, a renowned AI innovation expert. This book introduces AI Factories—dynamic systems that mass-produce intelligence, revolutionizing industries, economies, and human potential on an unprecedented scale.

Artificial Intelligence isn’t just for tech giants — it’s your new business partner. Whether you're a side hustler, entrepreneur, or visionary in the making, The AI Cash Code reveals how to transform today’s smartest tools into real, scalable income streams.

AIとより効果的な対話をするために人工知能（AI）、特に大規模言語モデル（LLM）が私たちのコミュニケーション、働き方、そして思考に大きな革命をもたらしつつある現在、AIとのコミュニケーションは、単なる技術の領域を越えて…

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 their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

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.

Artificial intelligence is one of the most significant technological developments of recent times, with the possibility to reshape society as we know it. In this engaging volume, the author explains the cutting-edge science behind artificial intelligence models as well as the philosophical implications in simple and accessible language.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

For decades, the tech industry has overwhelmingly been just a software industry. Silicon Valley’s big win was disrupting Yellow Cab. What about disrupting General Motors? General Mills? General Electric? Energy, water, waste, food, manufacturing, construction—things every human on Earth relies on—have made incremental progress over the last century but have not seen the kind of exponential improvements we take for granted in computing.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

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.

Transform your organization using AI-driven solutions with Microsoft 365 Copilot Adoption: A Practical Guide for Business Leaders and Consultants. This book draws on real-world case studies and insights from Microsoft’s early adopters to provide a practical framework for successful AI integration. It emphasizes the importance of leadership alignment, cultural readiness, and continuous skill development, equipping listeners with the mindset and methods needed to foster innovation and efficiency in an AI-driven workplace.

You've opened ChatGPT countless times. Ideas, tutorials—and still no income. You’ve seen the success stories. People making real money with ChatGPT while you’re still trying to figure out where to start. It’s not luck or secret connections—they just discovered what you’re about to learn: ChatGPT + the right system = real income. This isn't just a prompt pack—it's a 30-day implementation sprint that turns them into real-world results with paying clients and recurring income.

Most people use ChatGPT to save time. The smart ones use it to buy their freedom. This isn’t another side hustle—it’s your blueprint to design a life where income flows automatically while you finally live on your terms. You’ve done everything right—worked hard, checked the boxes, followed the rules. But deep down, you know the system was never built to make you free. Meanwhile, people with half your talent are earning full-time income from AI. The difference isn’t luck—it’s leverage.

Step into the transformative world of Artificial Intelligence with this exclusive book bundle featuring Unlock AI for Beginners and Understanding Generative AI for Business Leaders. Whether you're exploring AI for the first time or seeking strategic insights for your business, this bundle provides everything you need to embrace AI with confidence.

Artificial intelligence is, as the name suggests, artificial and fundamentally different to human intelligence. Yet often the goal of AI is to fake human intelligence. This deceit has been there from the very beginning. We’ve been trying to fake it since Alan Turing answered the question ‘Can machines think?’ by proposing that machines pretend to be humans. Now we are starting to build AI that truly deceives us. Powerful AIs such as ChatGPT can convince us they are intelligent and blur the distinction between what is real and what is simulated.