Machine Learning
Machine Learning is the systematic study of algorithms and systems that improve their knowledge or performance with experience. The main ingredients in this environment are tasks, models and features which are related one another.
A certain task requires an appropriate mapping, or model, from data described by features to outputs. The learning problem is represented by the learning algorithm performed on training data in order to define such a mapping. This means that machine learning aims to build the right model which can achieve the right task, by using the right features.
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Contrary to typical computer programs, machine learning techniques will iteratively learn from data. Machine learning algorithms can find patterns in data without being instructed on what to look for. There are three major types of machine learning algorithms: supervised learning, unsupervised learning and reinforcement learning.
