Big Data Analysis for knowledge based on Machine Learning using Classification Algorithm
Assefa Senbato Genale, B. Barani Sundaram, Amit Kumar Pandey, Vijaykumar Janga, Desalegn Aweke, P. Karthika · 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · 2022
From ancient days machines do obey the commands that are prepared by a human or a user, according to the program the machine does operate in its style, and this way of controlling a machine is said as Machine learning. Not only in the development of IT companies but also the rise of education system it takes a major part. Normally a human can able to store his memories. Using such kinds of stored memories he is learning new things which makes him feel better than before. Machines are quite different from human knowledge, instead of using memory power, it uses statistical comparison to analyze data. Here the number of data is stored in a database and according to the reaction received from the user, it gets additional data to create new data. For example let us have a music application, once a person hears music using the application then for this further entry he will get repeated music which he/she heard before. In this case, the application is working based on the machine learning algorithm, at first, it collects the information from the user then it uses the same information (data) to make efficient of the user's work when he returns. This paper approaches the necessity and development made in higher education system using Machine learning algorithm, most commonly the author have involved the concepts and algorithm based on Support Vector Machines and Learning Management systems. The prediction model is the most important thing which is created by the machine, while seeing about the statistical model with music the tempo and medium tempo is received as data from the user. Based on this concept the author has compared it with the educational system with a large amount of data consumption and that is similar to Deep learning.