introductory notes of machine learning machine learning is of tw types that is supervised and unsupervised . the main goal in supervised learning is to learn a model from labeled training data that allows us yto predict seen or unseen future using here the term supervised refers to the out come that we already know in supervised learning we train the machine to learn the output which we already know . e spam filtering is the example of supervised machine learning .
ANOTHER TYPE OF SUPERVISED LEARNING IS REGRESSION . in regression the outcome signal is continious signal .
CLASSIFICATION classification is another subcategory of supervised machine learning here the goal is to predict the categorical class labels based on past observations . cllass labels are discrete and unordered value that can be understood as the group memberships of the instances.