Machine learning
Machine learning is about programming computers to optimize a function based on previous experience. The computer is given empirical data to analyze and build a model function that can predict the output on unseen data that it might encounter in the real world. The computer builds a function based on the parameters and the empirical data supplied to it. This function evolves as more empirical data is given or when there is a change in the data characteristics. When this function is applied on unseen data at a later point, it predicts the output based on the model function. The empirical data supplied to learn this function is termed as training data.
The following are the kinds of machine learning algorithms:
- Supervised learning: The training data supplied to supervised learning methods is labeled. Each data point in the training dataset is a pair of objects, the actual data point representing the situation, which is generally a vector of values, and the desired output value...
