Tutorial by Examples

Imagine that a system want to detect apples and oranges in a basket of fruits. System can pick a fruit, extract some property of it (e.g weight of that fruit). Suppose System has a Teacher! that teaches the system which objects are apples and which are oranges. This is an example of a supervised cl...

In this example, a model will learn to classify fruits given certain features, using the Labels for training. WeightColorLabel0.5greenapple0.6purpleplum3greenwatermelon0.1redcherry0.5redapple Here the a model will take Weight and Color as features to predict the Label. For instance [0.15, 'red'] s...

There are quite a number situations where one has huge amounts of data and using which he has to classify an object in to one of several known classes. Consider the following situations: Banking: When a bank receives a request from a customer for a bankcard, the bank has to decide whether to issue...

Since Supervised Learning consists of a target or outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function that map inputs to desired outputs. The training process continues until th...