Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.

People Analytics has exploded - companies are now capturing extensive data about their employees and HR departments are finally getting their act together to analyze, manage, and protect this data.

A method called "reinforcement" is often used to tune the data from unsupervised and semi-supervised learning algorithms.

Facebook’s other breakthrough today is a new method for semi-supervised learning that uses only a small number of images to achieve “state of the art results” with a tenth of the training steps.

Specialization: Text Marketing Analytics Instructor: Chris J. Vargo, Assistant Professor and Scott Bradley Prior knowledge needed: None View on Coursera Learning Outcomes Describe text classification ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Despite the success of supervised machine learning and ...