How We Teach Machines to Learn: Tree Boosting and Adversarial Networks - PROPRIUS

No matter how you prefer to learn, you have probably heard someone mention something about your particular "learning style." This seemingly simple phrase implies that there are many different ways to learn, and people can be better or worse at certain learning methods depending on personal preferences and circumstances. As it is with people, so we tend to make it for computers. Machine learning is moving forward at a fast rate thanks to researchers and programmers figuring out how to optimize the ways through which machines learn new information. Two methods in particular, called tree boosting and adversarial networks, work in tandem to produce encouraging results.