検索キーワード： 制作 "----RM Alexander" 機械理論・人工知能

How to Make Money with AI Tools is a hands-on guide for turning artificial intelligence into income—without needing to code or raise capital. It explores how anyone can use tools like ChatGPT, Midjourney, and Zapier to freelance smarter, sell digital products, automate businesses, create content, build SaaS apps, launch e-commerce stores, and even invest intelligently. The book breaks down step-by-step strategies, tools, prompts, and business models across multiple industries and skill levels.

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times) A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post...

The AGI Chronicles by Kevin Roose is a forthcoming title from Farrar, Straus and Giroux...

With ChatGPT, Canva AI, Midjourney, and automation tools, anyone can produce high-quality, viral-ready content faster than ever. This book is your complete roadmap to writing captions, scripts, hooks, and visuals using AI — even if you’re a total beginner. If you want to create more content in less time, grow faster, and stay consistent without burnout — this book is your shortcut.

A New York Times Notable Book Finalist for the National Book Critics Circle Award An Instant New York Times Bestseller Named a Best Book of the Year by Smithsonian, Scientific American, and Elle “A bestselling page-turner that has made waves not just in Silicon Valley but around...

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...

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.

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。

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 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.

トップアスリートや大企業の経営者のブレイントレーニングを手掛け、 各界に成功者を続々と輩出している西田文郎の特別講演、第18弾！ 普段はごく限られた人々しか聞くことができない、 メンタルトレーニングのパイオニア・西田文郎の特別講演の模様を収録しております。 本シリーズの第18弾は、「人工知能と人間」に焦点をあてた講演内容になります。 近年の著しい科学の進歩や技術開発により、 ロボットや人工知能が私たちの生活でも身近な存在になりました。 そんなロボットや人工知能と、人間は今後どの様に付き合って行けば良いのか。 人工知能に支配されず、人間が人間らしく生きるにはどうすれば良いのか。 長年に渡って脳のしくみを研究し、「人間の脳」に秘められた可能性を知り尽くす西田文郎が、 これからの人類の生き方について専門的な切り口から解説します。 Jリーガーやプロ野球選手をはじめ、数々のトップアスリートのメンタルトーレーニングを行い、 北京オリンピック女子ソフトボール日本代表選手を金メダルへ導くなど、 数多くの実績を持つ西田文郎の講演を是非ご堪能ください。

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.

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.

Turn ChatGPT Into a Cash Machine goes beyond the hype, offering proven strategies to build a thriving online business. You'll use ChatGPT and other AI tools (e.g., Sora, Nano Banana, Descript) to generate income more easily.

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.

Are you ready to turn AI into income? Whether you're a total beginner or a seasoned entrepreneur, this book gives you the exact prompts, strategies, and systems to monetize ChatGPT and build scalable online businesses—fast.

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.

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?

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact.