The following points highlight the two main methods of machine learning. The methods are: 1. Relevance-Based Learning 2. Learning by Analogy. Method # 1. Relevance-Based Learning: This learning method is based on the observation- use of background knowledge allows much faster learning than expected from a pure induction program. Consider another example: An American lady comes to India as a [...]
In this article we will discuss about the process of machine learning through game playing. One of the earliest game-playing programs created by Samuel in 1963 learned to play checkers well enough to beat its creator. Samuel's program began as novice, but after only a few days' self-play was able to complete on equal terms in some very strong human [...]
The following points highlight the two main types of machine learning. The types are: 1. Inductive Learning 2. Ensemble Learning. Type # 1. Inductive Learning: This type of learning can be understood with the help of an example pair (x, f(x)) where x is the input and f(x) is the output of the function applied to x. Both x and [...]
In this article we will discuss about:- 1. ILP Discovers New Predicates 2. Inductive Learning with Inverse Deduction. Inductive Logic Programming (ILP) combines the inductive methods with the power of first-order logic as knowledge representation method. ILP has become a potential machine learning method for the following reasons: 1. If offers a rigorous approach to the general knowledge based inductive [...]