There are two major categories of problems that are often solved by machine learning: regression and classification. Regression is for numeric data (e.g. What is the likely income for someone with ...

You’ll notice that there is some overlap between machine learning algorithms for regression and classification. A clustering problem is an unsupervised learning problem that asks the model to ...

It's mostly useful to provide a baseline result for comparison with more powerful ML techniques such as logistic regression and k-nearest neighbors. Perceptron classification is arguably the most ...

Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using ...