Natural Language Processing Algorithms
We know, for each applicant, specific values of different metrics that we think are important and relevant to solving their problem (e.g., their income, credit score, etc.). Another means of solving classification problems — and one that’s exceptionally well-suited to nonlinear problems — is the use of a decision tree. By adding more dimensions to the problem and allowing for nonlinear boundaries, we are creating a more flexible model.
Although there are other prominent machine learning algorithms too—albeit with clunkier names, like gradient boosting machines—none are nearly so effective across nearly so many domains. With enough data, deep neural networks… Read More