DISH believes opportunity is its greatest benefit — and that means preparing its team members for their next step. Built In sat down with three members of its leadership development team to find out how DISH cultivates greatness.
Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.
Supervised learning is an approach to machine learning that uses labeled data sets to train algorithms in order to properly classify data and predict outcomes.
Data labeling is a crucial step for supervised machine learning algorithms. Here’s what you need to know about data labeling methods, advantages and best practices.