Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning ... at handling new types of data ...

Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...

Machine Learning (ML), thanks to its extremely fast turnaround, has been successfully applied in OCD metrology as an alternative solution to the conventional physical modeling. However, expensive and ...

With machine learning (ML), that ... But what about data that doesn’t fit neatly into Microsoft Excel or Google Sheets, including: When these types of unstructured data are at play, it ...