Forbes: How Machine Learning Truly Applies To Digital Identity, Part Two

In part one of this two-part series, we covered the complexity of the digital identity problem and some early-market solutions. Read on for part two as we discuss Machine Learning in Digital Identity.
 
Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, predominantly, the advertising ecosystem has embraced clustering to solve the problem of identity.
 
Read more here.