検索キーワード： 制作 "----RM Alexander" コンピュータサイエンス

Learn Windows PowerShell in a Month of Lunches, third edition, is an innovative tutorial designed for busy IT professionals. Just set aside one hour a day - lunchtime would be perfect - for a month, and you'll be automating Windows tasks faster than you ever thought possible. This updated edition covers PowerShell features that run on Windows 7, Windows Server 2008 R2 and later, and PowerShell v3 and later, and includes v5 features like PowerShellGet.

Boolean algebra, also called Boolean logic, is at the heart of the electronic circuitry in everything we use - from our computers and cars, to our kitchen gadgets and home appliances. How did a system of mathematics established in the Victorian era become the basis for such incredible technological achievements a century later?

A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the "bots"- artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them. In the beginning was Josh...

Few people know much about stem cell research beyond the ethical questions raised by using embryos. But in the last decade, stem cell research has made huge advances toward eliminating some of our most intractable diseases. Now this sweeping and accessible book introduces us to this cutting-edge science, which will revolutionize medicine and change the way we think about and treat disease.

The history of computing could be told as the story of hardware and software or the story of the Internet or the story of "smart" handheld devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html

Kai-Fu Lee: China, USA und die künstliche Intelligenz. Wer wissen will, wie sich in der Welt die Gewichte verschieben, muss sich die Künstliche-Intelligenz-Industrie (AI-Industrie) anschauen. Kai-Fu Lee, Ex-Google-China-CEO, milliardenschwerer Start-up-Investor und einer der weltweit renommiertesten AI-Experten, bietet in seinem Buch erstmals die chinesisch-amerikanische Perspektive. Er berichtet aus erster Hand: wie die Business-Kulturen aufeinanderprallen, warum die Silicon-Valley- Strategien in China scheitern mussten, wie ein chinesisches Google (Baidu).

The Age of Living Machines describes some of the most exciting new developments and the scientists and engineers who helped create them. Virus-built batteries. Protein-based water filters. Cancer-detecting nanoparticles. Mind-reading bionic limbs. Computer-engineered crops. Together they highlight the promise of the technology revolution of the 21st century to overcome some of the greatest humanitarian, medical, and environmental challenges of our time.

In 24 thought-provoking lectures designed for nonscientists, this course explores today's exciting field of genomics, the study of the vast storehouse of information contained within chromosomes. Your professor is Princeton University biologist Lee M. Silver, an acclaimed teacher, scientist, and author of popular books on biotechnology, genetics, and their impact on society.

As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love...

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. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

Billions of people around the globe use various applications of spatial computing daily - by using a ride-sharing app, GPS, social media check-ins, even Pokemon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

"The most important book on AI this year." --The Guardian "Mr. Russell's exciting book goes deep, while sparkling with dry witticisms." --The Wall Street Journal "The most important book I have read in quite some time" (Daniel Kahneman); "A must-read" (Max Tegmark); "The book we've all been...

Adrian Slywotzky and David Morrison are back with another brilliant and practical book dealing with the big issues that keep the managers of every company awake at night: How do I keep my company from being "Amazoned," and how do I "anticipate my competitors, launch a preemptive digital strike...

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

In this accessible introduction to AI, Sean O'Callaghan and Paul Hoffman explore its social and ethical impacts for ministry and teaching. The authors shed light on the biblical vision for human flourishing—and on how AI can help or hinder that flourishing. Avoiding both alarmism and uncritical acceptance, O'Callaghan and Hoffman offer resources and practical tools for using AI in our classrooms and congregations.