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Analysis on Machine Learning Techniques

R. Karthiga*, B. Keerthiga**, S. R. Preethi ***

*-*** Department of Electronics and Communication Engineering, SRM Valliammai Engineering College, Chennai,TamilNadu India.

Periodicity:September - November'2019
DOI : https://doi.org/10.26634/jcom.7.3.16739

Abstract

This paper brings out the interrelation between three main streams of Artificial Intelligence, Machine Learning, and Deep Learning. It emphasizes the significance of machine learning. On further, it deeply analyses the three types of machine learning,which are Supervised Learning, Unsupervised Learning, and Reinforcement Learning. A prediction machine learning algorithm is implemented using Google Colab, which is the current inventory tool. The potential and the computational capability of the machine an described in this paper. In this world of technologies, it is must to be aware of machine learning. Artificial intelligence (AI) is an area of computer science that empasizes the creation of intelligent machines that work and reacts like humans. Before considering the necessary policies of AI, it is very important to know about neural networks and machine learning. The impact of AI has almost reached greater heights. Self correction is possible using this technique. Research is going on regarding Artificial Intelligence whether it is beneficial for us or not.

Keywords

Labeled, Reinforcement, Deterministic, Supervised, Neural Network, Cluster.

How to Cite this Article?

Karthiga, R., Keerthiga, B., Preethi, S. R. (2019). Analysis on Machine Learning Techniques, i-manager's Journal on Computer Science, 7(3), 46-50. https://doi.org/10.26634/jcom.7.3.16739

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