Tutorial by Examples

The machine learns to predict an output when given an input. Each training case consists of an input and a target output. Regression The target ouput takes continuous values. Predicting the price of a stock Predicting a house price Classification The target output is a class label. Wha...
The machine has to automatically determine the ideal behavior to maximize its performance. For example: Using reinforcement learning you can also make a computer program that can complete a Mario level (MarI/O - Machine Learning for Video Games).
Unsupervised learning allows us to approach problems with little or no idea what our results should look like. We can derive structure from data where we don't necessarily know the effect of the variables. The most common type of unsupervised learning is cluster analysis or clustering. It is the ta...

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