人気の コンピュータ・テクノロジーオーディオブック

全世界で大反響！米TIME誌でも取り上げられた話題の書の日本語版が、サイボウズ式ブックスから遂に刊行！

国の時代から、星の時代へ。戦争、気候変動、AIの進化、宇宙産業──これから私たちが直面する課題は、もはや国家単位では捉えきれない。未来を設計するの思想。それが〈プラネタリア〉。

『チューリングの大聖堂』著者が導く、自然と機械が融和する新たな世界像。０と１で世界のすべてを記述することは本当に可能か。デジタルの限界が露わになる時、アナログの秘めたる力が回帰する――。

半導体は石油を超える「戦略的資源」だった―― 気鋭の経済史家が鮮やかに解き明かす、いびつな業界構造と米中対立の新側面 半導体不足の主な原因は、半導体サプライ・チェーンの問題にあるわけではなかった。

The dramatic story of the secretive decade-long Pentagon campaign to bring AI-powered targeting systems onto the battlefield.

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...

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with...

Kevin Mitnick, the world’s most wanted computer hacker, managed to hack into some of the country’s most powerful—and seemingly impenetrable—agencies and companies. By conning employees into giving him private information and maneuvering through layers of security, he gained access to...

Les histoires nous ont réunis. Les livres ont diffusé nos idées et nos mythologies. Internet nous a promis le savoir infini. Les algorithmes ont découvert nos secrets

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning―the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point...

At some point in your career, you'll realize there's more to being a software engineer than dealing with code. Is it time to become a manager? Or join a startup? In this insightful and entertaining book, Michael Lopp recalls his own make-or-break moments with Silicon Valley giants such as Apple...

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and...

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their...

Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This accessible guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded...

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering...

Skip the iPhone, the iPod, and the Macintosh. If you want to understand how Apple Inc. became an industry behemoth, look no further than the 1977 Apple II. Designed by the engineer Steve Wozniak and hustled into the marketplace by his Apple cofounder Steve Jobs, the Apple II became one of the...

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...

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.

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures...

In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston....