Bloomberg’s Global Data & CTO Data Science Teams Publish Best Practices for Data Annotation Projects
Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
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Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient for ...
Tighten up your code and identify errors before they occur with mypy. I've been using dynamic languages—Perl, Ruby and Python—for many years. I love the flexibility and expressiveness that such ...
Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...
Urban digital infrastructure generates massive volumes of geospatial data daily. Satellites capture aerial pictures. Internet ...
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