It will discuss different learning methods and will further focus on Expectation Maximization Method. EM is discussed with solved example.

3. Learning
Learning from
observations
Inductive learning
(Explanation based
learning, EBL)
Deductive learning
(Relevance based learning,
RBL)
Ensemble
learning
Statistical
learning methods
Learning with
complete data
Learning with
hidden data: EM
algorithm
NN:
Reinforcement
learning

7. Steps:
1) Probability
computation
E of gender wrt means,
mu, and variances,
sigma
2) M updates the
means and Pi, i.e.
proportion of the male
in the population