DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-1, Spl. Iss-2 ( Feb, 2017 ) | |||||||||
Paper Title |
Machine Learning Algorithms for Predictions | |||||||||
Author Name |
Kim Yoon Chang | |||||||||
Affilition |
Dulwich College. Grade 12 Dulwich Common, London SE21 7LD, United Kingdom | |||||||||
Pages |
6-11 | |||||||||
Abstract |
The basic principle of machine learning is always binary algorithm, which is the basic language of computer. Machine learning is needed to get useful information from Big Data. We must choose the type of machine learning that suits the type of prediction information we need. In other words, what type of machine learning is required depends on the nature, quality, and size of the data you want to analyze. Deep artificial neural networks are the most complex, but provide fast and accurate analysis of many data and prediction information. However, we should wait more time for which algorithm performs best. Keywords - Machine Learning, Multiple Linear Regression, Decision Tree, Artificial Neural Networks, Deep Learning, Gray Scale, Weight, Sigmoid Function. | |||||||||
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