Characteristics of Machine Learning Models
Ricky Ho published yet another great article giving a high level summary of the algorithms used by different machine learning models:
- decision trees
- linear regression methods
- neural networks
- bayesian networks
- support vector machines
- nearest neighbor
For classification and regression problem, there are different choices of Machine Learning Models each of which can be viewed as a blackbox that solve the same problem. However, each model come from a different algorithm approaches and will perform differently under different data set. The best way is to use cross-validation to determine which model perform best on test data.
Original title and link: Characteristics of Machine Learning Models (©myNoSQL)
via: http://horicky.blogspot.com/2012/02/characteristics-of-machine-learning.html
