Computational methods in machine learning

What is the computational approach in machine learning?
Computational learning theory uses formal methods to study learning tasks and learning algorithms.
PAC learning provides a way to quantify the computational difficulty of a machine learning task.
VC Dimension provides a way to quantify the computational capacity of a machine learning algorithm..
What is the significance of computational learning theory in machine learning?
Computational learning theory provides a formal framework in which it is possible to precisely formulate and address questions regarding the performance of different learning algorithms.
Thus, careful comparisons of both the predictive power and the computational efficiency of competing learning algorithms can be made..
The machine learning (ML) process included automated feature selection by information gain ranking using four different methods, averaging the results of information gain ranking, model building (LogiBoost), 3-fold stratified cross-validation, and repletion for 100 times.

Machine learning is a computational method for achieving artificial intelligence by enabling a machine to solve problems without being problem-specific programming (Samuel, 1959).

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Computational methods in machine learning

What is the computational approach in machine learning?

What is the significance of computational learning theory in machine learning?