Solution

The correct answer is A & B only

Key Points

• Learning algorithms: These algorithms are used in machine learning to help technology in human learning process. It is used to process data to extract patterns appropriate for application in a new system.

Explanation:

• From above given options, only a) and b) are learning algorithms.
  • Logistic regression: It is used for binary classification problems. It is used to examine and describe the relationship between a binary variable and set of predicator variables.  The primary objective of logistic regression is to model the mean of the response variables, given a set or predicator variables.
  • Back propagation: It is the essence of neural net training. It is the method of fine tuning the weights of a neural net based on the error rate obtained in the previous iteration. It is a standard method of training artificial neural networks. 

Additional Information

• Linear regression and forward propagation  are not typically considered classification algorithms. Linear regression is a regression algorithm used for predicting continuous numeric values, while forward propagation is a step in the training process of neural networks and is not a standalone algorithm for classification.