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Machine learning and. In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for three reasons:
Thereâs no one-size-fits-all approach to selecting the right DevOps tools for your needs. Your business requirements, your IT group, your budget, your legacy systems and workflowsâall of these are unique to your organization. And so is the criteria for selecting tools youâll need to maximize the benefits of DevOps. The key is to create a strategy about whatâs important to your company. If collaboration is your goal, for example, the right tools can encourage your teams to do the right thing.