Brief Overview of Machine Learning as a Field

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[...]  Over the next few years, mediated applications of machine learning follow one another much more rapidly than before. Applications  Machine learning is used in a wide range of applications:  pattern recognition such as faces,  diagrams, image segmentation,  natural languages,  typed or handwritten characters;  search engines Applications – example 1  A machine learning system can enable a robot with the ability to move its limbs, but initially knowing nothing about the coordination of movements that enable walking, to learn to walk. [...]

[...] Brief Overview of Machine Learning as a Field Brief overview of Machine Learning as a field What is Machine learning?  Machine learning is a field of study in artificial intelligence that relies on mathematical and statistical approaches to give computers the ability to “learn” from data  Machine learning generally consists of two phases.  The first one consists in estimating a model from. This so-called learning or “training” phase is generally carried out prior to the practical use of the model. [...]

[...] Types of learning  Learning algorithms can be categorized according to the learning mode they employ. Here are some of the most common types:  Supervised learning  Unsupervised learning  This method is often a source of serendipity  Semi-supervised learning  Partially supervised learning  Reinforcement learning  Transfer learning Summary  To sum up, Machine Learning is a field of study in artificial intelligence, which began its development nearly a century ago, but became popular only in the 1980s. [...]