検索キーワード： 制作 "-30- Press LLC" 機械理論・人工知能

Are you ready to turn conversations into cash? Make Money with ChatGPT is your ultimate guide to launching profitable side hustles, building passive income streams, and scaling online businesses—all powered by the world’s most accessible AI tool.

Artificial intelligence has evolved from a specialized research field into a general-purpose technology that's transforming nearly every industry. Large language models (LLMs) like GPT-4, Claude, and Gemini have demonstrated remarkable capabilities in understanding and generating human language. Image generation models create photorealistic images from text descriptions. Code generation tools assist programmers in writing software faster than ever before.

What if your affiliate business could run 24/7 finding products, creating content, driving traffic, and making sales without burning you out? Welcome to AI-Powered Affiliate Marketing 2026, a step-by-step guide for building a scalable, automated, and future-proof affiliate business using artificial intelligence. If traditional affiliate tactics feel slow, oversaturated, or confusing, this book shows how today’s top marketers use AI to work smarter, not harder. Affiliate marketing has changed. Algorithms decide visibility. Automation drives conversions. Personalization builds trust.

Humanity’s greatest ambition may also become its deepest moral test. We are on the brink of creating artificial intelligence that doesn’t just calculate or mimic — but truly feels. When that threshold is crossed, the question will no longer be what AI can do for us, but what its very existence might cost.

AI for Beginners Demystified: Your Guide to Simplify Artificial Intelligence by Rick Samara, narrated by Shawn Lennox and produced/published by Audiobook Publishing Services, is the perfect starting point for anyone who wants to understand Artificial Intelligence without getting lost in complicated tech jargon. This fun, engaging, and beginner-friendly audiobook breaks down the essentials of AI, machine learning, neural networks, deep learning, and generative AI in a way that’s clear, entertaining, and easy to follow.

¿Ves cómo la IA se expande a tu alrededor pero aún no sabes cómo usarla en tu trabajo real y en tu vida diaria? ¿Abrumado por todas las herramientas, la jerga y el bombo publicitario, y solo quieres un plan sencillo que te muestre paso a paso qué hacer? ¿Preocupado de quedarte atrás si no aprendes IA ahora, pero no sabes por dónde empezar ni cómo desarrollar habilidades reales y prácticas?

Winner of the FT and Schroders Business Book of the Year Award Named a Best Book of 2025 by The Economist “Framed as a biography of Jensen Huang, the only CEO Nvidia has ever had, the book is also something more interesting and revealing: a window onto the intellectual, cultural, and economic...

性愛、家族愛、推しへの愛……言語哲学のプロが徹底解剖！　この愛の言葉を、AIは理解できるのか？古くから、それはきっと人類が誕生したころから、“愛”という概念、感情は存在している。

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

The noted inventor and futurist’s successor to his landmark book The Singularity Is Near explores how technology will transform the human race in the decades to come Since it was first published in 2005, Ray Kurzweil’s The Singularity Is Near and its vision of an exponential future have...

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.

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.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field.

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.

La storia di come le reti di informazione hanno fatto e disfatto il nostro mondo, dall’autore del bestseller mondiale Sapiens. Negli ultimi centomila anni, noi Sapiens abbiamo accumulato un enorme potere. Eppure, nonostante tutte le nostre scoperte, invenzioni e conquiste, oggi ci troviamo in una crisi esistenziale. Il mondo è sull’orlo del collasso ecologico. La disinformazione dilaga. E ci stiamo buttando a capofitto nell’era dell’intelligenza artificiale, una nuova rete di informazioni che minaccia di annientarci. Perché siamo così autodistruttivi?

今、何が起きているのか？これからどうなるのか？人工知能とそれを支えるクラウド技術などの進化を長年追い続けてきた著者による、今後10年の社会変革を理解するためのベーシック・レポート

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.