Found a slide that says that learning methods in computer systems are divided into:
- Deductive or analytical learning (expert systems). There is knowledge formulated by an expert and somehow formalized. The program deduces concrete facts and new rules from these rules.
- Inductive learning (statistical learning). Based on empirical data, the program builds a general rule. Empirical data can be obtained by the program itself in previous sessions of its work, or simply presented to it.
- Combined training.
Please provide the types and algorithms of combined learning.
I found a pretty good description. And it (it seems) is done with the help of a manin rewriting. But you can also see the original. Selecting Machine Learning Algorithms Microsoft Azure Machine Learning Algorithms Cheat Sheet https://docs.microsoft.com/ru-ru/azure/machine-learning/studio/algorithm-choice 04/25/2017 Reading time: 29 min
Briefly, with illustrations of graphs. Best.