Tag - Machine Learning
Complex calculations – and the availability of large amounts of data and high computing power – are a central aspect and a basic prerequisite for machine learning.
In machine learning processes, an algorithm learns to perform a task independently through repetition. The machine is guided by a predefined quality criterion and the information content of the data. Unlike conventional algorithms, no solution path is modeled. The computer learns to recognize the structure of the data on its own. For example, robots can learn for themselves how to grasp certain objects in order to transport them from A to B. They are only told from where and to where.
They are only told from where and to where they should transport the objects. The robot learns exactly how to grasp objects through repeated trial and error and through feedback from successful attempts.
Steve Voges
Karl-Friedrich Becker