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The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus …
Information architecture (IA) is far more challenging-and necessary-than ever. With the glut of information available today, anything your organization wants to share should be …
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help …
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s …
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? …
Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your …
With more than 500 new apps entering the market every day, what does it take to build a successful digital product? You can greatly reduce your risk of failure with design sprints, …
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this …
Prototyping and user testing is the best way to create successful products, but many designers skip this important step and use gut instinct instead. By explaining the goals and …
Digital product research doesn't have to be difficult, take a long time, or cost a lot of money. Nor should it be a job solely for scientists or expert researchers. In this …