Learning Vector Quantization, aka LVQ (for both classification and regression) Support Vector Machines, aka SVM (for binary classification) Random Forests, a type of “bagging” ensemble ...

Again, the process is slow and manual, but seeing under the hood of the machine learning algorithm is a rewarding experience. In many of the book’s chapters, you’ll use the Solver tool to ...

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one ...