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An engrossing origin story for the personal computer—showing how the Apple II's software helped a machine transcend from hobbyists' plaything to essential home appliance.
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 brilliant engineer Steve Wozniak and hustled into the marketplace by his Apple cofounder
Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python libraries
Key FeaturesFeature engineering, the process of transforming
...Whether you are dealing with a partner who is mindlessly scrolling rather than listening to you (phubbing), flooding social media with your child's image (sharenting), or panicking whenever you misplace your phone...
Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager.
From mentoring interns to working with senior staff, you'll
...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.
Authors Joe Reis and Matt Housley walk you through
...“Dr. Joy Buolamwini has been an essential figure in bringing irresponsible, profit-hungry tech giants to their knees. If you’re going to read only one book about AI, this should be it.”—Darren Walker, president of...
In the industrial age, automation came for the shoemaker and the seamstress. Today, it has come for the writer, physician, programmer, and attorney.
Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking readers on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories and missile defense systems trained on Russian
...A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so that readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained, two-page layout complete with examples and graphics.
Nearly every section has been revised to ensure that the sixth
...Fall Guys is more than just a stampede of loveable characters—it takes skill to be the last player standing, and this unofficial game guide will equip you with everything you need to get there. It breaks down all of the game's characters, maps, obstacles, and mini-games,...
Ditch the devices and bring back the magic of being a kid
Screens are everywhere. Children spend an average of 7.5 hours on digital devices every day with profoundly negative consequences. While some tech may "amplify" real-life experience, the vast majority undermines it by limiting physical activity, creating anxiety, or damaging self-esteem. Childhood Unplugged takes a bold approach to creating healthy
...14) Elon Musk
A Next Big Idea Club "Must Read" for December 2023
As all aspects of our social and informational lives increasingly migrate online, the line between what is "real" and what is digitally fabricated grows ever thinner—and that fake content has undeniable real-world consequences. A History of Fake Things on the Internet takes the long view of how advances in technology brought us to the point where faked texts, images,
...A greyhound catching the mechanical lure—what would he actually do with it? Has he given this any thought?
Bostrom's previous book, Superintelligence: Paths, Dangers, Strategies changed the global conversation on AI and became a New York Times bestseller. It focused on what might happen if AI development goes wrong. But what if things go right?
Suppose that we develop superintelligence safely, govern
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