Map Of Machine Learning Algorithms. The goal of supervised learning is to map input data with the output data. Further Reading on Machine Learning Algorithms.
Ive collected together some resources for you to continue your reading on algorithms. The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data. Thus the maps are updated with only the recent changes.
The training process continues until the model achieves a desired level of accuracy on the training data.
Maximum a posteriori MAP learning selects a single most likely hypothesis given the data. If you have a specific question please leave a comment. Machine Learning opportunities in E-Commerce Space. Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs rather than following strictly static program instructions.
