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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.

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.

2024年初頭、誰もがミームコインの取引に夢中になっていた頃、Yat Siu氏はもっと大きな変化が来ると予測していた。彼は正しかった。この3部作オーディオブックシリーズで、池田将がYat Siu氏の洞察に迫る。

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。

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?

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.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

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.

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...

Vaccines: Mythology, Ideology, and Reality tells the story of this technology and the celebrated men who developed it with some success, but also with failures that are never mentioned in the celebratory literature on vaccines. Vaccine advocates often proclaim that they “follow the science,” but most vaccine development has been a matter of guesses, gambles, and wild experimentation. Its key figures have been biased by religious faith, wishful thinking, ideology, and a desire for recognition and money.

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.

ChatGPT has become a tool hundreds of millions use every day—yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work. While the fear is that AI will take people’s jobs, it is more likely to be someone using AI that will! This book explores the ‘big three’ AI chatbots, demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools.

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.

Discover Proven Methods to Build Online Income Streams Using the Power of Artificial Intelligence — Even with No Tech Skills!

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...

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

2024年6月に開催された Appleの開発者向けイベントWWDC2024。話題の中心は Apple Vision Pro、そして Apple intelligence。それらの戦略、技術について、高木利弘、大谷和利が解説する。

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。

NEW YORK TIMES BESTSELLER An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO...

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.