Open AccessLearning Evolution: a Survey
Author(s) -
Nada Hussain Ali,
Matheel E. Abdulmunim,
Akbas Ezaldeen Ali
Publication year - 2021
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2021.62.12.34
Subject(s) - artificial intelligence , machine learning , computer science , active learning (machine learning) , robot learning , process (computing) , deep learning , algorithmic learning theory , instance based learning , multi task learning , engineering , task (project management) , systems engineering , robot , mobile robot , operating system
Learning is the process of gaining knowledge and implementing this knowledge on behavior. The concept of learning is not strict to just human being, it expanded to include machine also. Now the machines can behave based on the gained knowledge learned from the environment. The learning process is evolving in both human and machine, to keep up with the technology in the world, the human learning evolved into micro-learning and the machine learning evolved to deep learning. In this paper, the evolution of learning is discussed as a formal survey accomplished with the foundation of machine learning and its evolved version of learning which is deep learning and micro-learning as a new learning technology can be implemented on human and machine learning. A procedural comparison is achieved to declare the purpose of this survey, also a related discussion integrates the aim of this study. Finally a concluded points are illustrated as outcome which summarized the practical evolution intervals of the machine learning different concepts.