Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. An estimator is a machine learning algorithm.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give someone using SciKit Learn bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
ML Algorithms Comparative Analysis Overview Classification Algorithms Logistic Regression Naive Bayes Classifier Regression Algorithms Linear Regression Either Classification or Regression Algorithms
why in the transformer model from the "Attention is all you need" paper there is no activation applied after both the multihead attention layer and to the residual connections. It seems to me that the
A drug target is a molecule in the body, usually a protein, that is intrinsically associated with a particular disease process and that could be addressed. A biological target is anything within a liv