A Literature Survey on Machine Learning Algorithms and Applications
Abstract
Machine Learning (ML) is a subset of the Artificial Intelligence, a field of computer science that provides system to automatically learn and improve from past experience without being explicitly programmed. Machine Learning (ML) is a multidisciplinary field, a combination of statistics and computer science algorithms which is widely used in prediction and classification. The second section of the paper focuses on the basic machine learning methods and algorithms. This paper will highlight the various machine learning tools needed to run the machine learning programs. The main concern of concerned paper is to study the main approaches and case studies of using machine learning for forecasting in different areas such stock price forecasting, weather forecasting, tourism demand forecasting, solar irradiation forecasting, supply chain demand and consideration of neural network in machine learning methods.
How to cite this article:
Dash PK. A Literature Survey on Machine Learning Algorithms and Applications. J Engr Desg Anal 2020; 3(2): 88-91.
References
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