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From weedsy tactical help to high-level strategy books, here are the essential product management books, according to the pros.
In isolation, it’s a way to depend on the kindness of strangers.
Building and deploying machine-learning models isn’t computationally cheap. Here’s how to save, according to cloud and AI experts.
Everything from sharing news on the company Slack to hosting informal work “meetups” suddenly carry a lot more significance.
We asked three remote-work veterans for advice on running distributed data teams more effectively.
How to boldly go where none have gone before.
The designer who popularized “neumorphism” talks accessibility, quality assurance and Dribbble’s limitations.
Gender data can be valuable for a variety of reasons. But before you ask, consider why you’re asking, and how you frame the question.
Data science grads are more qualified than ever, but they still need good mentors to apply their skills in the real world.
Healthcare professionals are inundated with alerts. So after 70 prototypes of its hand hygiene tracker, SwipeSense decided to skip notifications altogether.
Useless code can slow down the release of new features. But be sure to think it through before mashing “delete.”
Scrum, Agile, Kanban — these programs will teach you how the pros get things done.