Machine Learning Project

Field of business

Machine Learning Project

Machine learning is a field of artificial intelligence that develops and improves engines through repeated learning on a machine based on big data, thus improving existing algorithms and obtaining optimal results. It can also be seen as a technology for establishing and inferring a learning model by discovering a hidden ‘pattern’ after analyzing data, and further, a field of science autonomously improving its performance based on the knowledge acquired from experience. Machine learning can be summarized as a field of creating new knowledge by allowing a computer to learn data, just as a person learns. The history of machine learning began after the 1950s, underwent growth during the 1980~1990s, stayed at a standstill for a while, and experienced significant progress since the mid-2000s

Intelligent Control Solution (Machine Learning Based Intelligent Control System)

Machine learning is mainly used to solve problems for which explicit algorithms are difficult to design or program.

Most machine learning algorithms first analyzes the characteristics of the potential mechanism created by data and quantifies the complex relationship, and then uses this identified pattern to make predictions about new data. Machine learning has a deep relationship with data mining or statistical and mathematical optimization problems in that it extracts useful rules, expression of knowledge, or judgment standards from data.

Machine learning is used in almost every field, including computer science, and is applied in the fields of computer vision (character recognition, object recognition, face recognition), natural language processing (automatic translation, conversation analysis), voice recognition and handwriting recognition, information searching and searching engine (text mining, span filter, extraction and summary, recommendation system), bioinformatics (gene analysis, protein classification, disease diagnosis), computer graphics and gaming (animation, virtual reality), and robotics (route search, driverless cars, object recognition and classification).