検索キーワード： コンピュータ・テクノロジー

This book is for programmers who want to learn JavaScript and for web developers who want to take their understanding and mastery to the next level. It begins by explaining the JavaScript language itself, in detail, from the bottom up. It then builds on that foundation to cover the web platform and Node.js.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Sarah Wynn-Williams, a young diplomat from New Zealand, pitched for her dream job. She saw Facebook’s potential and knew it could change the world for the better. But, when she got there and rose to its top ranks, things turned out a little different. From wild schemes cooked up on private jets to risking prison abroad, Careless People exposes both the personal and political fallout when boundless power and a rotten culture take hold.

「進化は再現不可能な一度限りの現象なのか？　それとも同じような環境条件では同じような適応が繰り返し発生するのか？」進化のあり方をめぐって、進化生物学者の間で20世紀から大論争を繰り広げられてきた命題をめぐるサイエンスミステリー。

Technology promises to save humanity. How's that working out? In this comedy-science podcast, comedy legends Richard Ayoade (determinedly pessimistic) and Warwick Davis (inexplicably cheerful) venture beneath Audible HQ to the Future Tense lab, fully equipped to interrogate the future we're all being told to look forward to.

史上最怖怪談決定戦！ 関西テレビ「稲川淳二の怪談グランプリ 2014」優勝、 恐い話No.1決定戦「OKOWAチャンピオンシップ」初代王者の”怪談和尚”による「怪談説法」10話を収録しています。

In the newly revised ninth edition of CompTIA Security+ Study Guide: Exam SY0-701, veteran cybersecurity professionals and educators Mike Chapple and David Seidl deliver easy-to-follow coverage of the security fundamentals tested by the challenging CompTIA SY0-701 exam. You'll explore general security concepts, threats, vulnerabilities, mitigations, security architecture and operations, as well as security program management and oversight.

今、４度目の産業革命が始まろうとしている。牽引役となるのは、ＡＩ（人工知能）だ。

In simple and easy-to-understand language, this book provides you with the knowledge and tools to recognize and counteract cyber threats, helping you navigate the digital world with confidence and security.

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn. Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile" can be tricky. This practical book helps you sort it out, first by grounding you in agile's underlying principles, then by describing four specific - and well-used - agile methods: Scrum, extreme programming (XP), Lean, and Kanban.

Cyber risk management is one of the most urgent issues facing enterprises today. This book presents a detailed framework for designing, developing, and implementing a cyber risk management program that addresses your company's specific needs. Ideal for corporate directors, senior executives, security risk practitioners, and auditors at many levels, this guide offers both the strategic insight and tactical guidance you're looking for.

In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.

Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.

When longtime AI expert and journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces. In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

The AI revolution is happening now. Software developers who embrace AI will be best positioned to thrive in the future. This concise book provides a crucial foundation in the core concepts driving this transformative technology, including: Machine Learning: How algorithms learn from data to make predictions.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

In Like, bestselling author and renowned strategist Martin Reeves and coauthor Bob Goodson—Silicon Valley veteran and participant in the invention of the like button—take listeners along on a fascinating quest to find out what's behind the world's friendliest icon. It's a story that starts out as simply as a thumbs-up cartoon but ends up presenting surprises and new mysteries at every turn, some of them as deep as anthropological history and others as speculative as the AI-charged future.

It's challenging to assess and understand how to learn a new skill, mainly when the subject appears vast. There can be so much data available that it is difficult to know where to begin. Even worse, you start learning and soon find there are so many definitions, commands, and complexities not clarified. This book is helpful even if you have never used Linux before but want to master it.